{"id":"W4311728672","doi":"10.1136/bmj.o2787","title":"Reducing harm from overuse of healthcare","year":2022,"lang":"en","type":"editorial","venue":"BMJ","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Harm; Health care; Do no harm; Business; Medicine; Psychology; Political science; Criminology; Social psychology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.009194307,0.0005058972,0.001486897,0.0002908949,0.001215471,0.00001930373,0.0009937212,0.002224857,0.00744501],"category_scores_gemma":[0.02064655,0.0005408194,0.000253712,0.0004341911,0.0000992227,0.0002802416,0.001062445,0.009280561,0.0005272626],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173372,"about_ca_system_score_gemma":0.0133423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2126548,"about_ca_topic_score_gemma":0.004671999,"domain_scores_codex":[0.9810209,0.01107977,0.003052405,0.001130685,0.002617021,0.001099283],"domain_scores_gemma":[0.9720866,0.01962865,0.004441271,0.002185682,0.001156116,0.000501688],"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":[0.0003485311,0.00009243573,0.001136379,0.003575137,0.0001142819,0.00004057051,0.007152084,0.00000135265,0.00001589036,0.0003344703,0.9849106,0.002278264],"study_design_scores_gemma":[0.0007988271,0.0001749878,0.0007049376,0.001767532,0.00009179225,4.040355e-7,0.005220057,0.000005215847,0.000006215035,0.0003905705,0.9904097,0.0004297671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.003139121,0.002653645,0.00001005747,0.03483183,0.9447232,0.002668307,0.007786661,0.0002251492,0.003961999],"genre_scores_gemma":[0.000964931,0.001284159,0.0009914992,0.003427076,0.9824129,0.0009851898,0.003457163,0.0002262795,0.006250846],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2079828,"threshold_uncertainty_score":0.9997044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5468067806574325,"score_gpt":0.5960047391772034,"score_spread":0.04919795851977093,"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."}}