{"id":"W2802841805","doi":"10.1016/j.case.2017.09.010","title":"Clot or Not?","year":2018,"lang":"en","type":"article","venue":"CASE","topic":"Cardiac tumors and thrombi","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Jewish General Hospital","funders":"","keywords":"Medicine; Cardiac Tumors; Thrombus; Cardiac imaging; Radiology; Cardiology; Internal medicine; Modality (human–computer interaction); Exertional dyspnea; Artificial intelligence; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005003038,0.00004079213,0.0001001876,0.00001879198,0.00003697388,0.000005577367,0.00001148667,0.00002216934,0.0009913038],"category_scores_gemma":[0.0000582174,0.00002800258,0.00004506166,0.00006011147,0.00005677128,0.00001507172,0.00001515641,0.00004259882,0.0006038837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001358394,"about_ca_system_score_gemma":0.00003283611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004833013,"about_ca_topic_score_gemma":0.00002276636,"domain_scores_codex":[0.9997049,0.000005335286,0.00005733522,0.00008562984,0.00005402006,0.00009279499],"domain_scores_gemma":[0.9996701,0.00001496094,0.00001028423,0.0001758796,0.00004079507,0.00008799887],"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":[0.003409981,0.0004355574,0.006800011,0.0002068062,0.0001978552,0.3724278,0.002302278,1.335394e-7,0.02478698,0.005118408,0.484769,0.09954523],"study_design_scores_gemma":[0.003660357,0.00166928,0.02685476,0.00008512154,0.0002447486,0.1666361,0.0005020841,0.00009646827,0.04876182,0.00009256976,0.7511374,0.0002593464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778156,0.00003387956,0.0000270557,0.000314891,0.000345884,0.00007771124,0.000006047827,0.00003855712,0.02134036],"genre_scores_gemma":[0.9916209,0.000003386635,0.0001667788,0.001293931,0.0009398867,0.000002810156,0.000002199752,0.000008666147,0.005961459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2663684,"threshold_uncertainty_score":0.9999219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04313429906210362,"score_gpt":0.342739384260366,"score_spread":0.2996050851982623,"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."}}