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  1. SciScore for 10.1101/2021.11.30.21250895: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    05 was set for all inferential tests, and analyses were conducted using Python ( and R software platforms (
    suggested: (IPython, RRID:SCR_001658)
    suggested: (CVXOPT - Python Software for Convex Optimization, RRID:SCR_002918)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    The limitation of the study is that most responders in our sample haven’t experience traumatic events, such as confirmed COVID-19 infection. Thus, they reported lots of maladjustment for changes of routine life. Those who and whose family members have fallen illness due to virus infections, may show more intensity of negative emotions and different stressors and influence factors. In addition, we did not ask participants to report their quality of life, thus the potential influence of emotion on subjective well-being has not been fully understood.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

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