{"id":"W4390767850","doi":"10.1016/j.psycom.2023.100154","title":"Erratum regarding missing statements in previously published articles","year":2024,"lang":"en","type":"erratum","venue":"Psychiatry Research Communications","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institutes of Health; University of Utah; Canadian Institutes of Health Research; Ohio State University; Milken Institute; U.S. Department of Defense; Global Alliance for Chronic Diseases; AbbVie; National Natural Science Foundation of China; Boeing","keywords":"Information retrieval; Computer science; Data science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0274912,0.003028224,0.004895488,0.01154199,0.00657285,0.00980301,0.004662318,0.0181513,0.1129815],"category_scores_gemma":[0.2705406,0.003779727,0.006317037,0.00768464,0.00247414,0.004670692,0.004464477,0.01811287,0.09305253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00714811,"about_ca_system_score_gemma":0.01428624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01280521,"about_ca_topic_score_gemma":0.01503856,"domain_scores_codex":[0.9650792,0.007198837,0.01062649,0.001833708,0.01356181,0.001699887],"domain_scores_gemma":[0.7635792,0.1255267,0.01780134,0.007951397,0.08006091,0.005080403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004449054,0.00001024634,0.00003165617,0.0003195379,0.00002427216,0.0001020598,0.00001520414,0.00001541635,0.00001561415,0.0002110436,0.9967325,0.002478086],"study_design_scores_gemma":[0.000449654,0.0000537239,0.0006282905,0.005783534,0.0003283467,0.0003801654,0.0001258092,0.0002651588,0.0003467563,0.003351266,0.9882038,0.00008352015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00007454028,0.002091177,0.0005854713,0.09105305,0.8991644,0.0001146696,0.002830062,0.0003657363,0.003720772],"genre_scores_gemma":[0.003890135,0.01080175,0.006323529,0.379923,0.4823107,0.001304726,0.006466778,0.00235918,0.1066201],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1129815,"threshold_uncertainty_score":0.3779607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.806736466421035,"score_gpt":0.6337712154215553,"score_spread":0.1729652509994797,"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."}}