{"id":"W6923322737","doi":"10.1371/journal.pone.0293129.s001","title":"PRISMA checklist 2020.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respirator; Checklist; Test (biology); Personal protective equipment; Usability; Health care; Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.06053032,0.00464161,0.0111911,0.02370594,0.002993189,0.008614835,0.00941842,0.005114658,0.3045513],"category_scores_gemma":[0.1743885,0.005334009,0.01341989,0.01866219,0.003590541,0.006068795,0.007389484,0.006643671,0.02926676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01009852,"about_ca_system_score_gemma":0.04847854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0110401,"about_ca_topic_score_gemma":0.01331978,"domain_scores_codex":[0.9450983,0.02183073,0.02377344,0.003582532,0.004500092,0.001214978],"domain_scores_gemma":[0.8239752,0.1106747,0.02105074,0.01052231,0.03179722,0.001979959],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008180622,0.00009830645,0.0003851507,0.7242314,0.001363704,0.0001528884,0.0009394921,0.000792277,0.0002935361,0.006902885,0.231201,0.03282131],"study_design_scores_gemma":[0.00863093,0.0002905751,0.003608578,0.3984778,0.003573295,0.0003832729,0.002266989,0.001897587,0.000808107,0.02691351,0.552658,0.0004913199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001349567,0.009968694,0.01555458,0.01356766,0.004161447,0.3355252,0.6017597,0.005719072,0.01239408],"genre_scores_gemma":[0.003017059,0.004541926,0.0642736,0.002009115,0.0002446926,0.8813694,0.03743587,0.0006819351,0.006426423],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9394697,"threshold_uncertainty_score":0.9919732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03343474060863541,"score_gpt":0.2969489543276571,"score_spread":0.2635142137190217,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}