{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001315084,0.0001061606,0.0002148536,0.0001191002,0.0001762436,0.000005051202,0.00002660111,0.00001974039,0.0006747028],"category_scores_gemma":[0.00002300027,0.00009883889,0.00004704989,0.00007578774,0.00001980587,0.00004189596,0.00002969854,0.0001889156,0.00003143997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001407654,"about_ca_system_score_gemma":0.00008567231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002217817,"about_ca_topic_score_gemma":0.0001285364,"domain_scores_codex":[0.9992144,0.00005194464,0.0001548113,0.0001966179,0.0001962266,0.0001859652],"domain_scores_gemma":[0.9997221,0.00006561124,0.00002322439,0.0001054684,0.0000353904,0.00004818245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01214404,0.004695576,0.007346397,0.000654874,0.003120788,0.1629378,0.03994474,0.1130117,0.02333833,0.07212088,0.006767403,0.5539175],"study_design_scores_gemma":[0.2453089,0.08328955,0.007202133,0.001218441,0.002831448,0.02989494,0.1631777,0.1003484,0.01352653,0.3218389,0.02645413,0.004908843],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931883,0.003629962,0.00007030906,0.000444387,0.0002423881,0.000371864,0.0003083198,0.00004372325,0.001700731],"genre_scores_gemma":[0.9978607,0.00002461462,0.0002447997,0.0009212662,0.00008406449,0.0001358613,0.0001043723,0.00001649358,0.0006078575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5490086,"threshold_uncertainty_score":0.7387522,"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."}}