{"id":"W2768252762","doi":"10.1002/gepi.22097","title":"A unified partial likelihood approach for X‐chromosome association on time‐to‐event outcomes","year":2017,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Chromosome; Statistic; X chromosome; Genetics; Genetic association; Biology; Association (psychology); X-inactivation; Population; Genetic model; Expression (computer science); Computational biology; Genotype; Statistics; Computer science; Mathematics; Gene; Psychology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009830591,0.0002476495,0.0005013773,0.00003760598,0.0003660361,0.00003422534,0.0005154978,0.0003659725,0.0001399827],"category_scores_gemma":[0.003642977,0.0002134657,0.0002763396,0.00002135054,0.00009574936,0.000003733715,0.0001776467,0.0001077234,0.0002703895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003472301,"about_ca_system_score_gemma":0.00006107504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001381855,"about_ca_topic_score_gemma":0.000006920313,"domain_scores_codex":[0.9978455,0.0002249933,0.0005895565,0.0006191562,0.0001307487,0.0005899927],"domain_scores_gemma":[0.9981668,0.0002886761,0.0004350441,0.000750982,0.0001268167,0.0002316714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002484101,0.003370128,0.4641357,0.0003494602,0.002360973,0.00001958454,0.0004086176,0.007888318,0.1029298,0.006563892,0.2006163,0.2088732],"study_design_scores_gemma":[0.005960308,0.007914126,0.6842008,0.00004770329,0.0002542875,0.00002373318,0.0001465145,0.004054725,0.03861685,0.009495579,0.2475637,0.00172168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570197,0.0001959899,0.02273357,0.009326556,0.000633983,0.001122782,0.0001395138,0.00004571426,0.008782148],"genre_scores_gemma":[0.9600901,0.00006729352,0.01501305,0.005706065,0.0008153948,0.0003008893,0.0001820399,0.00003401719,0.01779113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2200651,"threshold_uncertainty_score":0.8704877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198719278520368,"score_gpt":0.3276933471890554,"score_spread":0.2957061544038517,"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."}}