{"id":"W3039087190","doi":"10.5539/cis.v13n3p73","title":"Integrating Radiology into an AI System for Physician Decision Making","year":2020,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Plan (archaeology); Radiography; Extension (predicate logic); Work (physics); Medical physics; Radiology; Artificial intelligence; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007030999,0.0001016927,0.0001327691,0.0001462583,0.0005751165,0.0008097054,0.0007814867,0.00003432631,3.380135e-7],"category_scores_gemma":[0.00006583983,0.00008519897,0.00002466342,0.0005680952,0.00008650115,0.008881337,0.0002440431,0.00009889676,0.00001089742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003565188,"about_ca_system_score_gemma":0.0001049589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003130236,"about_ca_topic_score_gemma":2.391533e-7,"domain_scores_codex":[0.9990025,0.00002584373,0.0002907247,0.0002485167,0.0002129741,0.0002194202],"domain_scores_gemma":[0.9991855,0.0001465105,0.0001323487,0.000196823,0.0002090214,0.000129815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001070395,0.000003296571,0.0002195487,0.00007762542,0.000002043534,5.468484e-7,0.01370989,0.005037279,0.0002105474,0.1145527,0.0005219239,0.8656539],"study_design_scores_gemma":[0.0001670043,0.0002099578,0.0003882606,0.00009411521,0.000001247845,0.00001361795,0.0001803957,0.9952481,0.0002228742,0.0007538024,0.002604572,0.0001160389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01039527,0.00002070472,0.9879029,0.0006007451,0.000382284,0.0001436085,0.000001498122,0.0001775509,0.0003753819],"genre_scores_gemma":[0.6620548,6.84446e-7,0.3331733,0.004675066,0.00008679495,0.000004856658,0.000002828512,0.000001521605,1.796315e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9902108,"threshold_uncertainty_score":0.7808007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653770922960172,"score_gpt":0.2776692520364281,"score_spread":0.2611315428068263,"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."}}