{"id":"W2893629804","doi":"10.1002/gepi.22157","title":"Partial likelihood ratio test for X‐chromosome association models","year":2018,"lang":"en","type":"letter","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Public Health Ontario; University of Toronto","funders":"","keywords":"Biostatistics; Beijing; China; Library science; Test (biology); Public health; Demography; History; Sociology; Medicine; Biology; Archaeology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.03368236,0.001017155,0.002605022,0.001806653,0.0008627524,0.002513348,0.004621643,0.004001868,0.02491331],"category_scores_gemma":[0.2216935,0.0008094346,0.002466578,0.002035182,0.002690598,0.003839464,0.002620674,0.005218091,0.003040751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005663586,"about_ca_system_score_gemma":0.001882425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009621741,"about_ca_topic_score_gemma":0.0009051485,"domain_scores_codex":[0.9636062,0.03181979,0.0008541681,0.001903452,0.00133815,0.000478251],"domain_scores_gemma":[0.7158762,0.2688041,0.003144487,0.008480258,0.002313648,0.001381377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01291763,0.0006292295,0.1331254,0.001876825,0.00806976,0.01374063,0.001144244,0.02893029,0.001992136,0.1734169,0.1197558,0.5044012],"study_design_scores_gemma":[0.003099033,0.00278595,0.03269111,0.0003268275,0.001502197,0.02248194,0.0006173186,0.4383618,0.001523584,0.460545,0.03587682,0.0001885082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.10488,0.005553925,0.8131962,0.04934692,0.003151113,0.0006198089,0.004653836,0.002998425,0.01559979],"genre_scores_gemma":[0.8209975,0.001109788,0.1520779,0.006569461,0.003763413,0.001184681,0.003142929,0.0005542369,0.01060009],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03368236,"threshold_uncertainty_score":0.1781315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03404066707973814,"score_gpt":0.292679291210227,"score_spread":0.2586386241304888,"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."}}