{"id":"W7110991364","doi":"10.1371/journal.pmed.1004580.g002","title":"Risk of bias assessment of included studies using the Newcastle–Ottawa Scale.","year":2025,"lang":"","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk assessment; MEDLINE; Data collection; Population; Noise (video)","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":"evaluation","study_design":"not_applicable","genre":"other","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":[],"consensus_categories":[],"category_scores_codex":[0.1095606,0.002742055,0.00984028,0.02029824,0.001527934,0.006064876,0.004934331,0.004316983,0.06932201],"category_scores_gemma":[0.466949,0.001923043,0.02644712,0.01154028,0.002691182,0.005712755,0.003854556,0.005638772,0.004858895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005299611,"about_ca_system_score_gemma":0.009118883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004532615,"about_ca_topic_score_gemma":0.007885057,"domain_scores_codex":[0.8235662,0.05777758,0.08399755,0.009005734,0.02421266,0.00144025],"domain_scores_gemma":[0.4708132,0.351299,0.1081122,0.02491302,0.04289632,0.00196622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005224604,0.0001303844,0.01178312,0.7359797,0.06274947,0.0002280816,0.001040051,0.001231906,0.0007125068,0.005101476,0.1002277,0.07559098],"study_design_scores_gemma":[0.01923703,0.001110311,0.04547135,0.5611057,0.1165128,0.001065046,0.0009947439,0.009497581,0.002945454,0.03838103,0.2024538,0.001225144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0132556,0.1868229,0.09134765,0.01037119,0.006587597,0.2495559,0.4093335,0.004489399,0.02823621],"genre_scores_gemma":[0.1703126,0.03085145,0.1530045,0.005678235,0.002104368,0.5673013,0.05832707,0.001985131,0.01043539],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1095606,"threshold_uncertainty_score":0.5794188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2363585014458313,"score_gpt":0.4269758450464419,"score_spread":0.1906173436006106,"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."}}