{"id":"W2506162896","doi":"10.1159/000446475","title":"When Is an Endophenotype Useful to Detect Association to a Disease? Exploring the Relationships between Disease Status, Endophenotype and Genetic Polymorphisms","year":2016,"lang":"en","type":"article","venue":"Human Heredity","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire en Santé Mentale de Québec; Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Endophenotype; Locus (genetics); Allele; Disease; Genetics; Biology; Medicine; Internal medicine; Neuroscience; Cognition; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004717495,0.0002034464,0.0001958583,0.00005770422,0.0004738355,0.00004483874,0.0002273945,0.0001067948,0.00007572134],"category_scores_gemma":[0.001388857,0.0001499454,0.00007352546,0.00009179687,0.00004517809,0.00001525485,0.0001965263,0.0001161402,0.00006296754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001213711,"about_ca_system_score_gemma":0.00009008636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001177872,"about_ca_topic_score_gemma":0.000282038,"domain_scores_codex":[0.9979877,0.0004519415,0.0003152723,0.0005519477,0.0002109856,0.0004821062],"domain_scores_gemma":[0.9982763,0.0001760209,0.0001374638,0.0006030053,0.0001196489,0.0006875453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006516836,0.00002237536,0.9815752,0.000005689174,0.00006247043,0.00000249996,0.0003959731,0.00002392558,0.008489544,0.00003895001,0.00415633,0.005161902],"study_design_scores_gemma":[0.0002986966,0.0001795479,0.9814746,0.00001239277,0.00007924755,5.541907e-7,0.00003294269,0.000004069146,0.000532017,0.006002738,0.01115865,0.0002245059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931577,0.0002441316,0.002593292,0.002997766,0.0001874578,0.0004386786,0.0003092958,0.00002900363,0.00004266363],"genre_scores_gemma":[0.9961829,0.00005625743,0.00126085,0.000542776,0.001013844,0.0001806586,0.00007099809,0.00003397079,0.0006577628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007957526,"threshold_uncertainty_score":0.6114596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0766884189978016,"score_gpt":0.2778648155353139,"score_spread":0.2011763965375123,"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."}}