{"id":"W2397361021","doi":"10.1097/rli.0000000000000164","title":"Cardiovascular Imaging","year":2015,"lang":"en","type":"review","venue":"Investigative Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital","funders":"","keywords":"Modality (human–computer interaction); Magnetic resonance imaging; Medicine; Modalities; Medical physics; Radiology; Computer science; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007685264,0.0005384134,0.004322123,0.0003108113,0.00005217952,0.00001844335,0.0001660306,0.0003240444,0.00001939415],"category_scores_gemma":[0.002110422,0.0004267588,0.001800791,0.0003656896,0.00115288,0.00004111601,0.0001105847,0.000839556,0.000511518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003942802,"about_ca_system_score_gemma":0.001656835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003568291,"about_ca_topic_score_gemma":2.382932e-7,"domain_scores_codex":[0.9974165,0.0006394307,0.0005317685,0.0006577558,0.0002935872,0.0004609589],"domain_scores_gemma":[0.9977148,0.0004388699,0.000195811,0.0008896071,0.0002544264,0.0005064476],"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":[0.000002927435,0.00002075582,0.0003230918,0.005230383,0.002191454,0.001060697,0.00009440663,0.000002497324,2.893513e-7,0.0003809952,0.06508045,0.925612],"study_design_scores_gemma":[0.0004388238,0.00004875379,0.00003794912,0.005070902,0.006743671,0.00636429,0.00001856782,0.000004316887,0.000001157131,0.000595042,0.9803112,0.0003653414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000026695,0.9876729,0.00009231137,0.0001619426,0.0008789106,0.0007586564,0.00006480279,0.0001651453,0.01020269],"genre_scores_gemma":[0.000007812176,0.9961671,0.001078004,0.0004914986,0.001302129,0.0001414185,0.0004262922,0.0001040855,0.0002816086],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9252467,"threshold_uncertainty_score":0.9998184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08377840231723817,"score_gpt":0.3515870775961113,"score_spread":0.2678086752788731,"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."}}