{"id":"W2156995657","doi":"10.1002/gepi.20471","title":"Phenotype definition and development—contributions from Group 7","year":2009,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Single-nucleotide polymorphism; Confounding; Selection (genetic algorithm); Phenotype; Genetics; Genetic variants; Biology; Computational biology; Psychology; Statistics; Computer science; Genotype; Mathematics; Artificial intelligence; Gene","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":[0.0007149099,0.0002067281,0.0003827887,0.00004936482,0.0002015405,0.000006082127,0.000148369,0.0003954096,0.00005055994],"category_scores_gemma":[0.001528882,0.0002024773,0.00006379067,0.00006222209,0.0001142282,0.000002542117,0.00007684085,0.0001281571,0.000061924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002568668,"about_ca_system_score_gemma":0.00006814535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005922383,"about_ca_topic_score_gemma":0.00008232763,"domain_scores_codex":[0.9978424,0.0004838725,0.0005691235,0.0005579445,0.00004927449,0.0004974102],"domain_scores_gemma":[0.9989839,0.0002585118,0.0001972469,0.0003234106,0.00007737035,0.0001595237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001776106,0.0002915795,0.5709546,0.00001167262,0.0003750232,0.000007337085,0.0002289035,0.0004136075,0.1137384,0.01085415,0.01982516,0.2831219],"study_design_scores_gemma":[0.0005434442,0.0002917848,0.9228547,0.000005485841,0.00002720272,0.00001443771,0.00003068022,0.0001216451,0.000435746,0.03768734,0.03773514,0.0002524419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8567866,0.006198907,0.133654,0.002030474,0.0002000078,0.0001838606,0.00005284304,0.0000312361,0.0008620895],"genre_scores_gemma":[0.8234614,0.0008687183,0.170306,0.004064546,0.0003476888,0.00002851471,0.0008446865,0.00001226269,0.00006612712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3519001,"threshold_uncertainty_score":0.8256785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0291950178935387,"score_gpt":0.2834305470854953,"score_spread":0.2542355291919566,"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."}}