{"id":"W2036595331","doi":"10.1093/nar/gku1004","title":"T3DB: the toxic exposome database","year":2014,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":332,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Genome Alberta; Canadian Institutes of Health Research; Alberta Innovates; Genome Canada","keywords":"Exposome; Biology; Computational biology; Human health; Genome; Toxicology; Genetics; Gene; Environmental health; Medicine","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005878096,0.0001607422,0.0001430732,0.0000761841,0.0008540662,0.00008940726,0.0009901047,0.0000879914,0.00952702],"category_scores_gemma":[0.0009200161,0.00011667,0.00004983359,0.0005536919,0.001044249,0.0003513822,0.001241659,0.000942631,0.01961332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003557329,"about_ca_system_score_gemma":0.00002557163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004323566,"about_ca_topic_score_gemma":0.00009284123,"domain_scores_codex":[0.9953618,0.001115432,0.0002409666,0.0007258856,0.001530562,0.001025329],"domain_scores_gemma":[0.9976503,0.00070305,0.00004386637,0.001262587,0.00001486967,0.0003252792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001122351,0.0005892791,0.1519447,0.00007897737,0.00003872333,0.00007792119,0.004306357,0.0002129929,0.2710694,0.003428817,0.077022,0.4911186],"study_design_scores_gemma":[0.0008041025,0.000352892,0.2796022,0.00004984315,0.000009651542,0.00002271765,0.00105624,0.006130255,0.01014881,0.003003499,0.6983774,0.0004424491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8855737,0.00004062359,0.00120863,0.004879517,0.00008516491,0.0006334571,0.00001193014,0.00006103616,0.1075059],"genre_scores_gemma":[0.9948518,0.0001068153,0.0007121414,0.001400898,0.00017846,0.00008620453,0.000009336216,0.00004242171,0.002611957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6213554,"threshold_uncertainty_score":0.9913784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06181728260121579,"score_gpt":0.3482002689308837,"score_spread":0.286382986329668,"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."}}