{"id":"W4214516580","doi":"10.3390/stats5010014","title":"Modeling Secondary Phenotypes Conditional on Genotypes in Case–Control Studies","year":2022,"lang":"en","type":"article","venue":"Stats","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Advancing Translational Sciences; National Institute of Dental and Craniofacial Research; National Institute of Environmental Health Sciences; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Covariate; Pairwise comparison; Inverse probability weighting; Bootstrapping (finance); Weighting; Standard error; Sample size determination; Statistics; Population; Association (psychology); Computer science; Genetic association; Econometrics; Medicine; Machine learning; Psychology; Mathematics; Estimator; Genotype; Biology; Genetics","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":[0.1600192,0.002796333,0.00417932,0.005328103,0.001957166,0.003774273,0.007397795,0.005507098,0.008553983],"category_scores_gemma":[0.2888695,0.002953701,0.006221979,0.005618833,0.004284123,0.003705513,0.004349849,0.005986104,0.001270253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732386,"about_ca_system_score_gemma":0.003305577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01263727,"about_ca_topic_score_gemma":0.007648548,"domain_scores_codex":[0.8814605,0.09564125,0.003979037,0.01358942,0.003970637,0.001359319],"domain_scores_gemma":[0.6766504,0.2875049,0.01122209,0.01951363,0.003800485,0.00130852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003374664,0.0007413741,0.158028,0.002140277,0.008140747,0.004520919,0.003388932,0.2947779,0.001696144,0.3309481,0.01120274,0.1810401],"study_design_scores_gemma":[0.0008739329,0.0004721065,0.01204259,0.0005907557,0.002233399,0.0008518487,0.0001869695,0.6717457,0.0007691915,0.299771,0.01031907,0.0001435009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01993092,0.001289777,0.9727983,0.00154179,0.0004611383,0.00112088,0.001269204,0.0005269761,0.001060995],"genre_scores_gemma":[0.380962,0.003026619,0.5905253,0.002498582,0.001181795,0.009096527,0.004046722,0.0003760242,0.008286497],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1600192,"threshold_uncertainty_score":0.8462727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03386650855273303,"score_gpt":0.302638456345858,"score_spread":0.268771947793125,"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."}}