{"id":"W2345975351","doi":"10.1016/j.amepre.2016.03.009","title":"Choosing Wisely® in Preventive Medicine","year":2016,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Public Health Ontario","funders":"","keywords":"Medicine; Overdiagnosis; Family medicine; Preventive healthcare; Public health; Nursing; Internal medicine","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01305804,0.0003406073,0.00154398,0.0007767229,0.000245022,0.000002944843,0.0005469922,0.0001168295,0.002630943],"category_scores_gemma":[0.01346137,0.0001897697,0.0001298462,0.001066497,0.001629274,0.0006474364,0.0001368015,0.001508901,0.0001038415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008228921,"about_ca_system_score_gemma":0.0008710147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644671,"about_ca_topic_score_gemma":0.0004475955,"domain_scores_codex":[0.9868373,0.008063897,0.002765983,0.0004019488,0.001084408,0.0008464638],"domain_scores_gemma":[0.9863904,0.006853899,0.004484748,0.0004390766,0.001235702,0.000596184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001554136,0.0003835835,0.3933976,0.0003756352,0.0004076165,0.0003395164,0.04023166,8.193169e-7,0.008026334,0.001623718,0.02078786,0.5328715],"study_design_scores_gemma":[0.01443181,0.008800911,0.7385231,0.03899597,0.0004385652,0.0001653046,0.08993386,0.00000614557,0.0001895169,0.01200808,0.0958902,0.0006164956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8044086,0.002628678,0.009790814,0.1730681,0.00258214,0.001092003,0.00001180339,0.0000427732,0.006375178],"genre_scores_gemma":[0.9873588,0.001724023,0.0008607353,0.005010389,0.00244192,0.00003104477,0.000002688463,0.00005316051,0.002517251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.532255,"threshold_uncertainty_score":0.9982808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4160456955555675,"score_gpt":0.5681407605220077,"score_spread":0.1520950649664402,"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."}}