{"id":"W4220691247","doi":"10.1136/bmjopen-2021-059021","title":"Cohort profile: genomic data for 26 622 individuals from the Canadian Longitudinal Study on Aging (CLSA)","year":2022,"lang":"en","type":"article","venue":"BMJ Open","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Impact; University of Toronto; Hospital for Sick Children; Université de Montréal; Hamilton Regional Laboratory Medicine Program; Montreal Heart Institute; McMaster University; Public Health Ontario; St. Joseph’s Healthcare Hamilton; Jewish General Hospital; McGill University; McGill Genome Centre","funders":"Canadian Institutes of Health Research; Canada Foundation for Innovation; Government of Canada; Newfoundland and Labrador; Genome Canada","keywords":"Medicine; Genotyping; Cohort; Psychosocial; Disease; Genetics; Genotype; Bioinformatics; Gene; Internal medicine; Biology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001592638,0.0001321547,0.0002691296,0.00006004467,0.0008257614,0.0001323944,0.001393555,0.00002637257,0.000856431],"category_scores_gemma":[0.0001633813,0.00009402955,0.00003853084,0.0001402774,0.00003542673,0.00006845794,0.00128969,0.0002641187,0.00006548697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001639275,"about_ca_system_score_gemma":0.0009063724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2445392,"about_ca_topic_score_gemma":0.22991,"domain_scores_codex":[0.9984537,0.0001562317,0.0002289092,0.0004593906,0.0003972613,0.0003045401],"domain_scores_gemma":[0.9983708,0.0001422655,0.00009175057,0.001218476,0.00003078991,0.0001459447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001553109,0.0001407342,0.9035506,0.000008343255,0.00022603,0.00005928706,0.0006494732,0.000001889761,0.00001313624,0.00005922376,0.09458243,0.0005534941],"study_design_scores_gemma":[0.001603266,0.0005040813,0.9401065,0.00003081993,0.0002405291,0.00001980184,0.004584414,0.0001025378,0.000003315705,0.00006908239,0.05260187,0.0001338448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573962,0.0000687434,0.000004709847,0.01181273,0.0002875579,0.02375302,0.001550454,0.000021024,0.005105564],"genre_scores_gemma":[0.991317,0.000001124465,0.0002165255,0.002508485,0.0001709202,0.002846802,0.001518077,0.00004073558,0.001380354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04198056,"threshold_uncertainty_score":0.9377319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2055501161924478,"score_gpt":0.4298393303833276,"score_spread":0.2242892141908799,"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."}}