{"id":"W4386439911","doi":"10.1002/9781119862758.ch7","title":"Measuring Low‐Value Care and Choosing Your Local Priority (Phase 1)","year":2023,"lang":"en","type":"other","venue":"","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"","keywords":"Unintended consequences; Measure (data warehouse); Value (mathematics); Work (physics); Phase (matter); Computer science; Risk analysis (engineering); Business; Data mining; Engineering; Machine learning; 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":[0.02624735,0.0008361397,0.0008804662,0.002606656,0.00153305,0.005235145,0.001571045,0.001372304,0.02008694],"category_scores_gemma":[0.04277606,0.0006288709,0.0009189222,0.002669214,0.001432699,0.004283644,0.003709838,0.003091631,0.006918258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007426225,"about_ca_system_score_gemma":0.0148458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01387393,"about_ca_topic_score_gemma":0.02201262,"domain_scores_codex":[0.9841229,0.008079766,0.001108242,0.0007727043,0.005138321,0.0007779467],"domain_scores_gemma":[0.9749165,0.008653076,0.002079546,0.001038982,0.01128725,0.002024765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002341222,0.001210974,0.05496778,0.004617034,0.00009781142,0.00008897707,0.008500354,0.001339603,0.001784666,0.05728797,0.13244,0.7374308],"study_design_scores_gemma":[0.0002657976,0.002440847,0.1820475,0.0129825,0.0002126829,0.0004004756,0.03047557,0.00595274,0.01475064,0.0546044,0.6955402,0.0003265659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1163624,0.01247012,0.3037262,0.1047366,0.002513975,0.0426663,0.01870007,0.002822084,0.3960022],"genre_scores_gemma":[0.2760589,0.01134685,0.582937,0.01473138,0.000542977,0.031448,0.006685429,0.0008882579,0.07536124],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02624735,"threshold_uncertainty_score":0.1388109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6701246489934242,"score_gpt":0.5800090281043058,"score_spread":0.0901156208891184,"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."}}