{"id":"W2979903285","doi":"10.1016/j.cjca.2019.07.598","title":"SCLERAXIS AS A PROGNOSTIC MARKER OF MYOCARDIAL FIBROSIS IN HYPERTROPHIC CARDIOMYOPATHY (SPARC) STUDY","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Manitoba","funders":"","keywords":"Medicine; Myocardial fibrosis; Internal medicine; Hypertrophic cardiomyopathy; Cardiology; Population; Fibrosis; Sudden cardiac death; Biomarker","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009552171,0.0004529894,0.0005461148,0.0005077123,0.0005414147,0.0007603242,0.0004590619,0.0007393919,0.001052073],"category_scores_gemma":[0.001745322,0.0002796489,0.0004752854,0.0007084612,0.0003839709,0.0003053996,0.0003933762,0.0006841077,0.0001402432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004228858,"about_ca_system_score_gemma":0.000593438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005730084,"about_ca_topic_score_gemma":0.009137904,"domain_scores_codex":[0.9996241,0.0001241024,0.00003023537,0.00006964458,0.00007970395,0.00007209736],"domain_scores_gemma":[0.9988287,0.0002162776,0.0003069036,0.0001016786,0.0001600922,0.0003862703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002397616,0.00007893652,0.9936351,0.00002590403,0.0002802145,0.0002542337,0.0000538892,0.00005103334,0.0006916978,0.00004938549,0.0001629644,0.00231896],"study_design_scores_gemma":[0.0001091858,0.0003591228,0.9982808,0.00001078867,0.0003337196,0.0002997458,0.00005946765,0.0001641643,0.0001039926,0.00003471706,0.000238733,0.000005596806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998259,0.0006999199,0.00003779007,0.00008275114,0.00001199824,0.000013232,0.0002104302,0.000002624093,0.0006822011],"genre_scores_gemma":[0.9992062,0.0001971309,0.00008546736,0.00003656354,0.00004808704,0.000008108127,0.0002493249,0.000001293476,0.0001676766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005730084,"threshold_uncertainty_score":0.01139349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366653075290426,"score_gpt":0.2407543895506004,"score_spread":0.2270878587976962,"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."}}