{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02568731,0.001747065,0.00307334,0.002842911,0.00075371,0.003068339,0.004846548,0.002245171,0.006562405],"category_scores_gemma":[0.05796354,0.001291507,0.002989328,0.003559046,0.003224683,0.002982984,0.003057852,0.0028399,0.00106088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553203,"about_ca_system_score_gemma":0.003293648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006821794,"about_ca_topic_score_gemma":0.004954134,"domain_scores_codex":[0.9908847,0.006578687,0.0003034047,0.001072096,0.0008386482,0.0003224233],"domain_scores_gemma":[0.9534646,0.04189818,0.001598258,0.00143248,0.001148457,0.0004579748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003104388,0.0001392778,0.01146587,0.0005365457,0.0008903522,0.0009570157,0.0005453359,0.590219,0.001104019,0.2885417,0.002462964,0.1028275],"study_design_scores_gemma":[0.00006908102,0.0001096579,0.002107815,0.00007083891,0.0001812008,0.0002159244,0.00006083399,0.8696866,0.0003812714,0.125127,0.001930101,0.00005970414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005287843,0.0004075871,0.9927234,0.0004031895,0.00003095941,0.00008921461,0.0002139837,0.0001391599,0.0007046692],"genre_scores_gemma":[0.3793418,0.003251447,0.5944588,0.0007332928,0.0007534252,0.002454137,0.002359318,0.0003967066,0.01625109],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02568731,"threshold_uncertainty_score":0.1358491,"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."}}