{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002192652,0.002598827,0.0026783,0.008470809,0.001402108,0.003873677,0.004774013,0.002755812,0.03626412],"category_scores_gemma":[0.006559693,0.0009774356,0.002630424,0.01062739,0.0005499075,0.002911865,0.003710967,0.002363678,0.0393957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795368,"about_ca_system_score_gemma":0.005020936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849748,"about_ca_topic_score_gemma":0.01542608,"domain_scores_codex":[0.9978631,0.0003448714,0.0005871543,0.0004532662,0.0005651882,0.0001864239],"domain_scores_gemma":[0.9970387,0.000848187,0.0004054056,0.0005596825,0.0008467948,0.0003011599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007548815,0.0001272748,0.002617085,0.007891793,0.0003374056,0.000457589,0.0002175407,0.00220853,0.003013038,0.005430849,0.950153,0.02679095],"study_design_scores_gemma":[0.0002472444,0.00006784667,0.003248814,0.0009611351,0.0002533804,0.0003237528,0.0001953153,0.002436739,0.002417405,0.0080307,0.9817024,0.0001152708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007669328,0.001241754,0.003483589,0.0003796945,0.000105511,0.0001396351,0.9829406,0.006200696,0.004741558],"genre_scores_gemma":[0.001613779,0.001058492,0.003490442,0.0003034491,0.00002707433,0.0002485249,0.9919052,0.0004397497,0.0009132177],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03626412,"threshold_uncertainty_score":0.1213156,"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."}}