{"id":"W3036244465","doi":"10.1093/europace/euaa162.233","title":"668Principal component analysis can identify ventricular regions with highest variability in the arrhythmogenic substrate of ventricular tachycardia patients","year":2020,"lang":"en","type":"article","venue":"EP Europace","topic":"Cardiac Arrhythmias and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Perfusion; Ventricular tachycardia; Ischemia; Cardiology; Internal medicine; Ventricle; Ejection fraction; Myocardial perfusion imaging; Nuclear medicine; Heart failure","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":[],"consensus_categories":[],"category_scores_codex":[0.0003909161,0.0002296511,0.0006208186,0.0001279382,0.00007132828,0.00002140964,0.0001219105,0.00005359961,0.00002546853],"category_scores_gemma":[0.0001410487,0.000152011,0.0004566028,0.001758409,0.00008509286,0.00004367717,0.00005854925,0.0002382652,0.00001611049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001066238,"about_ca_system_score_gemma":0.00007149143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002472494,"about_ca_topic_score_gemma":0.00003874978,"domain_scores_codex":[0.9977367,0.0004932135,0.0003940268,0.0004481748,0.0006300904,0.0002978157],"domain_scores_gemma":[0.9987255,0.0001089217,0.0002059052,0.0006099289,0.0001507503,0.0001990336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002100494,0.0004766068,0.9869817,0.00007478239,0.001449794,0.008377255,0.0007345999,0.001337233,0.0000256142,0.00009473296,0.0001415239,0.00009609632],"study_design_scores_gemma":[0.002081229,0.0002463276,0.9920007,0.00002819571,0.002842272,0.0001274737,0.0001211911,0.0002767463,0.0002742624,0.000009574073,0.001847434,0.0001445754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956007,0.0002965851,0.000376701,0.002510348,0.00006629535,0.0007027798,0.00009076707,0.00002710194,0.0003287235],"genre_scores_gemma":[0.999331,0.00002710808,0.0001041162,0.0001744039,0.00009105622,0.00002800711,0.0002067054,0.00002166139,0.00001594457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008249781,"threshold_uncertainty_score":0.619883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452464065345988,"score_gpt":0.2444538610086219,"score_spread":0.229929220355162,"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."}}