{"id":"W2065628165","doi":"10.1093/europace/euu244.6","title":"80 * The prognostic value of cardiovascular magnetic resonance in aborted sudden cardiac death","year":2014,"lang":"en","type":"article","venue":"EP Europace","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiology; Sudden cardiac death; Cardiac magnetic resonance; Internal medicine; Magnetic resonance imaging; Value (mathematics); Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000970763,0.0001697607,0.0005181643,0.00008408248,0.00004202048,0.00001613446,0.0001311746,0.00005101194,0.00000947204],"category_scores_gemma":[0.002838636,0.0001279323,0.0003365416,0.0004000568,0.0001201489,0.00002783527,0.00006202745,0.0002616955,0.00005664381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003019083,"about_ca_system_score_gemma":0.00008605214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003874072,"about_ca_topic_score_gemma":0.000002986043,"domain_scores_codex":[0.9982461,0.000417204,0.0002615699,0.0002973847,0.0004675047,0.0003102346],"domain_scores_gemma":[0.9981878,0.0006758668,0.00004763783,0.0008536393,0.000141703,0.0000933999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006629954,0.0001222074,0.9658959,0.0001757271,0.0001446815,0.0001560367,0.0006124091,0.0006330991,0.0003064608,0.001163308,0.004032162,0.02669174],"study_design_scores_gemma":[0.0008277511,0.000148967,0.8267425,0.000196124,0.0004648197,0.00003294402,0.0000602983,0.0007226752,0.0004224261,0.00005061574,0.1702059,0.0001249971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8688062,0.1107524,0.0004319678,0.0008854908,0.0005406595,0.0008213558,0.00001811378,0.0000923686,0.01765149],"genre_scores_gemma":[0.9975991,0.0008922076,0.0004103998,0.000227829,0.000270381,0.00002620464,0.000007856852,0.00004286629,0.0005231239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1661738,"threshold_uncertainty_score":0.5216926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00881491761824283,"score_gpt":0.2337941645805217,"score_spread":0.2249792469622789,"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."}}