{"id":"W6885865006","doi":"10.1371/journal.pone.0251250.s003","title":"Risk of bias assessment scores.","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk assessment; Cohort; Scale (ratio); Cohort study; Selection bias","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2307756,0.004557821,0.01179686,0.02157706,0.002112516,0.005978485,0.005218908,0.005198783,0.1093338],"category_scores_gemma":[0.6177298,0.002802101,0.04680731,0.0147394,0.003309177,0.005286999,0.006807961,0.008307886,0.006429997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007008406,"about_ca_system_score_gemma":0.01086102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003942672,"about_ca_topic_score_gemma":0.007039595,"domain_scores_codex":[0.6892824,0.1503746,0.1115274,0.01313581,0.03379253,0.001887252],"domain_scores_gemma":[0.313222,0.5515746,0.05608075,0.0293943,0.04807282,0.001655429],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006508095,0.0002162884,0.01433295,0.5631036,0.1003042,0.0002178797,0.001533664,0.004809618,0.0005291828,0.01829344,0.1635959,0.1265552],"study_design_scores_gemma":[0.02480436,0.001382794,0.0423457,0.2430183,0.1301556,0.001244763,0.001573353,0.03204022,0.002896921,0.1223972,0.3960215,0.002119408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.007280711,0.06626226,0.193148,0.009976129,0.006841581,0.2259964,0.4596201,0.01056007,0.02031473],"genre_scores_gemma":[0.0630946,0.007798898,0.3762342,0.003993152,0.0009719827,0.5068526,0.03418051,0.002051798,0.004822185],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7692244,"threshold_uncertainty_score":0.9485906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8907938691131161,"score_gpt":0.5719489935132869,"score_spread":0.3188448755998292,"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."}}