{"id":"W2983390388","doi":"10.1136/bmj.l6317","title":"Reducing overuse in healthcare: advancing Choosing Wisely","year":2019,"lang":"en","type":"article","venue":"BMJ","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Radboud Universiteit","keywords":"Health care; Medicine; Computer science; Management science; Engineering ethics; Engineering; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05384595,0.0007269675,0.002270321,0.004513911,0.01706976,0.02702966,0.0036406,0.02299648,0.02353938],"category_scores_gemma":[0.3355139,0.001267518,0.001639898,0.003370043,0.01598507,0.0208335,0.0140105,0.0339225,0.009226254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01150127,"about_ca_system_score_gemma":0.07461827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009756657,"about_ca_topic_score_gemma":0.02250473,"domain_scores_codex":[0.8872851,0.05535471,0.005863508,0.003720581,0.04002148,0.007754563],"domain_scores_gemma":[0.6467224,0.1299821,0.02799588,0.008346467,0.07134762,0.1156056],"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":[0.0001809427,0.002172823,0.03243226,0.001620389,0.0004810395,0.0004542691,0.01724677,0.0002732102,0.0005492072,0.01579462,0.6513996,0.277395],"study_design_scores_gemma":[0.0007124047,0.0008535081,0.04333685,0.01329264,0.00055947,0.001325097,0.07262828,0.0008712182,0.0009538357,0.1981237,0.6666473,0.0006956942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004691301,0.004378488,0.0009307664,0.9747687,0.004026627,0.00004413856,0.00002511428,0.00003797821,0.01109688],"genre_scores_gemma":[0.2262013,0.02739314,0.01524194,0.6972371,0.02014106,0.0005830371,0.0001407442,0.0004048294,0.0126568],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05384595,"threshold_uncertainty_score":0.284768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4816124025768026,"score_gpt":0.5742089116534098,"score_spread":0.09259650907660721,"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."}}