{"id":"W3114836243","doi":"10.1148/radiol.2020209027","title":"Radiology in the Era of Value-based Healthcare: A Multi-Society Expert Statement from the ACR, CAR, ESR, IS3R, RANZCR, and RSNA","year":2020,"lang":"en","type":"article","venue":"Radiology","topic":"Radiology practices and education","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Health care; Reimbursement; License; Value (mathematics); Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.1040546,0.001036021,0.001539666,0.002562321,0.003635353,0.009052984,0.005273134,0.02201822,0.003108132],"category_scores_gemma":[0.1337785,0.0009081858,0.00187816,0.002392137,0.005350136,0.006118288,0.0101072,0.02249815,0.002759242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005958063,"about_ca_system_score_gemma":0.04085982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004901983,"about_ca_topic_score_gemma":0.008132648,"domain_scores_codex":[0.9338837,0.02402413,0.01340443,0.002806443,0.02165843,0.004222957],"domain_scores_gemma":[0.7389243,0.09108794,0.01634455,0.009399851,0.1061282,0.03811518],"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":[0.00006017565,0.00008926252,0.002372162,0.001454497,0.00006145188,0.0008397741,0.002476984,0.0007498565,0.0009038877,0.01039508,0.8737473,0.1068496],"study_design_scores_gemma":[0.0000213522,0.00004822506,0.001992494,0.006978007,0.00004855456,0.001749182,0.002522686,0.0006743991,0.0003991942,0.009552593,0.9759027,0.0001106226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001151701,0.0149474,0.001981012,0.9627941,0.0131203,0.0001887019,0.00010227,0.00004930567,0.005665306],"genre_scores_gemma":[0.09680202,0.09469532,0.07955506,0.6217596,0.07533547,0.001894513,0.001467213,0.000485425,0.02800546],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1040546,"threshold_uncertainty_score":0.5503001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06828653144733474,"score_gpt":0.360040093738927,"score_spread":0.2917535622915922,"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."}}