{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009674556,0.0001899239,0.0005634485,0.00002272342,0.0001104876,0.000007628968,0.0002408388,0.0002477549,0.0000503246],"category_scores_gemma":[0.0004202932,0.0001100435,0.0001199252,0.0001887388,0.0004170458,0.00005352815,0.00003428319,0.0006832556,0.000005741835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008162169,"about_ca_system_score_gemma":0.0002900152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00298942,"about_ca_topic_score_gemma":0.0001096455,"domain_scores_codex":[0.9974324,0.001173504,0.0005079262,0.0004176093,0.0001177711,0.0003507505],"domain_scores_gemma":[0.9975745,0.00163755,0.0002401158,0.0003879938,0.00005356284,0.0001062663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004452134,0.001090055,0.5778386,0.0003346485,0.001195376,0.0001494017,0.2124619,0.0005667591,0.03683604,0.003199851,0.1389408,0.02293435],"study_design_scores_gemma":[0.01786548,0.004020636,0.7601073,0.0001237447,0.0003962092,0.0007197753,0.02749992,0.03723025,0.0008841882,0.0004294887,0.1501901,0.0005328641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7424034,0.0125197,0.0007800719,0.2432855,0.0003052418,0.0006398108,0.00002331459,0.00001841251,0.00002457688],"genre_scores_gemma":[0.9267134,0.003206343,0.003820028,0.06561257,0.0004295464,0.00008982667,0.0001049968,0.00001622112,0.000007070118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.184962,"threshold_uncertainty_score":0.4519129,"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."}}