{"id":"W2145233704","doi":"10.1161/circgenetics.112.963363","title":"Toronto Hypertrophic Cardiomyopathy Genotype Score for Prediction of a Positive Genotype in Hypertrophic Cardiomyopathy","year":2012,"lang":"en","type":"article","venue":"Circulation Cardiovascular Genetics","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Hypertrophic cardiomyopathy; Medicine; Internal medicine; Genotype; Cardiomyopathy; Cardiology; Receiver operating characteristic; Logistic regression; Family history; Genetics; Heart failure; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001283351,0.0004636591,0.001538719,0.0002714595,0.0001711592,0.00002077825,0.000138489,0.000361331,0.00001137179],"category_scores_gemma":[0.0001972254,0.0004794345,0.001998622,0.000443263,0.0001615453,0.0002284508,0.0001088856,0.0002130778,0.00001032354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006458989,"about_ca_system_score_gemma":0.0001938053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002108354,"about_ca_topic_score_gemma":0.00001620154,"domain_scores_codex":[0.9966092,0.0002545036,0.0008189714,0.0006492494,0.0009179381,0.0007501743],"domain_scores_gemma":[0.9975722,0.00009341304,0.000178121,0.001153743,0.0007342752,0.0002682698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001004545,0.000486559,0.8516376,0.001090335,0.007903137,0.00007495149,0.004426877,0.01946864,0.05211067,0.0003672304,0.000199754,0.06122972],"study_design_scores_gemma":[0.003928078,0.0003522564,0.9784125,0.0001767614,0.002931113,0.0004584988,0.000564645,0.0009741447,0.003061786,0.00006877798,0.008613087,0.0004583282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8211382,0.1592335,0.01474213,0.00003361141,0.001231415,0.002152741,0.0002574442,0.00008265166,0.0011283],"genre_scores_gemma":[0.9920304,0.003479684,0.001849426,0.00007733544,0.001849105,0.0002734602,0.0003010643,0.0001136323,0.0000259215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1708921,"threshold_uncertainty_score":0.9997658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976798629125082,"score_gpt":0.2487675646050228,"score_spread":0.218999578313772,"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."}}