{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003746699,0.0003968231,0.0003711923,0.001035276,0.0007160699,0.00114178,0.0004143108,0.002408096,0.01438476],"category_scores_gemma":[0.005401128,0.000164095,0.0003857007,0.0006109981,0.001000988,0.002128482,0.0004441214,0.00195889,0.004616138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000597552,"about_ca_system_score_gemma":0.0004171537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006762,"about_ca_topic_score_gemma":0.0008743565,"domain_scores_codex":[0.9996653,0.00006405891,0.00004865728,0.00006886873,0.00007338432,0.00007975347],"domain_scores_gemma":[0.9991009,0.000354412,0.0002028893,0.00006081771,0.0001598786,0.0001212644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0004176774,0.0001251024,0.03822142,0.0008386223,0.00008313999,0.6737919,0.001628603,0.0002274687,0.002591144,0.02395419,0.1117589,0.1463618],"study_design_scores_gemma":[0.00003658056,0.00005667784,0.004905105,0.0004562798,0.00004593064,0.8669863,0.0008567923,0.0002971602,0.0008380701,0.01004276,0.1154412,0.00003707327],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2470448,0.1454072,0.01662432,0.2518095,0.0321935,0.000328904,0.00228992,0.0006818348,0.3036199],"genre_scores_gemma":[0.8409184,0.03285528,0.00529886,0.04397138,0.01945311,0.00006693422,0.001070226,0.0001618191,0.05620396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01438476,"threshold_uncertainty_score":0.04812175,"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."}}