{"id":"W6945943758","doi":"10.3389/fcvm.2020.548564.s001","title":"Table_1_Ventricular Arrhythmia in Septal and Apical Hypertrophic Cardiomyopathy: The French-Canadian Experience.DOCX","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypertrophic cardiomyopathy; Clinical endpoint; Sudden cardiac death; Cohort; Incidence (geometry); Aneurysm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002735962,0.0004293951,0.0005101648,0.002371765,0.0006970682,0.0007383487,0.00065824,0.0004519754,0.2800661],"category_scores_gemma":[0.002777814,0.0001848299,0.0004341758,0.003120462,0.000188176,0.0004713754,0.0003426977,0.0004065847,0.02720063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831665,"about_ca_system_score_gemma":0.003042467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3636805,"about_ca_topic_score_gemma":0.3552133,"domain_scores_codex":[0.999798,0.0000186504,0.00003218459,0.00002816925,0.00007321181,0.00004988215],"domain_scores_gemma":[0.9984006,0.0005196686,0.0001834997,0.00003744337,0.0006576636,0.0002009954],"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":[0.0001149439,0.00002674729,0.01322709,0.0009941123,0.00002394111,0.000351462,0.00009023587,0.0001055395,0.00008919038,0.0004590806,0.9474152,0.03710248],"study_design_scores_gemma":[0.0002336164,0.00007825707,0.3095215,0.002252839,0.00005022515,0.00304093,0.0004014292,0.0003727472,0.0001602816,0.0007410004,0.6830888,0.0000583967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01149551,0.0109025,0.0005681912,0.005702853,0.001201869,0.0005725226,0.8911046,0.0008058535,0.07764609],"genre_scores_gemma":[0.1066432,0.0277853,0.003067893,0.009746959,0.003413297,0.0008369295,0.6914633,0.001006437,0.1560367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6363195,"threshold_uncertainty_score":0.9369143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02809193218915813,"score_gpt":0.2461013119771682,"score_spread":0.2180093797880101,"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."}}