{"id":"W4321610537","doi":"10.1148/rg.220079","title":"O-RADS US Risk Stratification and Management System: Case-based Learning Approach for Daily Practice","year":2023,"lang":"en","type":"article","venue":"Radiographics","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Risk stratification; Referral; Library science; Gynecology; Family medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006059935,0.0001342776,0.0001938568,0.0003097056,0.0002578378,0.00005911187,0.00003259688,0.00007237679,0.000001050153],"category_scores_gemma":[0.00004901075,0.0001197387,0.0001006001,0.0007266774,0.00004069806,0.00006694868,0.00001004794,0.0001323845,0.000002811311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000696406,"about_ca_system_score_gemma":0.00002947146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001313732,"about_ca_topic_score_gemma":0.000008318035,"domain_scores_codex":[0.9989763,0.00008026984,0.000201088,0.0003517359,0.0001929443,0.0001976436],"domain_scores_gemma":[0.9992195,0.0001870734,0.0001439199,0.0002634386,0.00008194962,0.0001041011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00156205,0.002557268,0.7370245,0.02017603,0.006767306,0.006319798,0.001769645,0.01722297,0.0001017822,0.07325049,0.01312829,0.1201198],"study_design_scores_gemma":[0.02278239,0.003481099,0.3229669,0.001148121,0.0145621,0.003113255,0.01068399,0.4479518,0.0002785665,0.0001331435,0.1718032,0.001095391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7046136,0.01358623,0.235989,0.008776593,0.001099938,0.01623527,0.0002639828,0.002568738,0.01686671],"genre_scores_gemma":[0.9645877,0.002271165,0.03199646,0.00008627585,0.00009389189,0.0006821054,0.0001762248,0.00003029772,0.00007591415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4307289,"threshold_uncertainty_score":0.4882802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394695929082059,"score_gpt":0.2889809859174235,"score_spread":0.2650340266266029,"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."}}