{"id":"W1943193065","doi":"10.11606/t.5.2004.tde-24102005-143648","title":"\"Cardiomiopatia hipertrófica: importância dos eventos arrítmicos em pacientes com risco de morte súbita\"","year":2004,"lang":"pt","type":"dissertation","venue":"","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine","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":[0.0007553214,0.0002138072,0.0003202418,0.0007399117,0.0003205127,0.0006284583,0.0001503141,0.0004380462,0.001355974],"category_scores_gemma":[0.003108956,0.00009935489,0.0002739282,0.0005384853,0.0002495887,0.0004032022,0.0003093415,0.0002343299,0.0001703914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002142317,"about_ca_system_score_gemma":0.000244762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008330549,"about_ca_topic_score_gemma":0.001473904,"domain_scores_codex":[0.999726,0.00007833524,0.0000490359,0.00004504235,0.00005251621,0.00004904572],"domain_scores_gemma":[0.9978023,0.0005505853,0.001326559,0.00004094925,0.0001645782,0.0001149911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005044887,0.00003603254,0.9912889,0.00005650547,0.000035185,0.0005825246,0.0001381197,0.00003330836,0.0009599424,0.00002121382,0.00005019215,0.00629355],"study_design_scores_gemma":[0.00001392739,0.000477865,0.9954147,0.00003034613,0.00006507538,0.003030528,0.0002139824,0.0001225551,0.0003481511,0.0000262398,0.0002519599,0.000004712975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978406,0.001301728,0.0001152964,0.00007497995,0.000007068508,0.00001317644,0.00008041137,0.00000334473,0.0005633125],"genre_scores_gemma":[0.9992412,0.0003445631,0.0001553865,0.00002617662,0.00002600399,0.000006670535,0.00008407827,5.441667e-7,0.0001153826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001355974,"threshold_uncertainty_score":0.004536211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389794546288293,"score_gpt":0.2844675438990408,"score_spread":0.2705695984361579,"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."}}