{"id":"W2775179387","doi":"10.1039/c7em00510e","title":"Fate and exposure modeling in regulatory chemical evaluation: new directions from retrospection","year":2017,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Environment and Climate Change Canada","funders":"","keywords":"Computational biology; Biology","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":[0.0003576747,0.0001148048,0.0001085348,0.0000149933,0.0006641931,0.0002557684,0.0002867347,0.00006127208,0.0001932413],"category_scores_gemma":[0.0003626533,0.00005637217,0.00001873959,0.0001543718,0.0002848613,0.001060239,0.0001365067,0.0001064694,0.00000996883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001276202,"about_ca_system_score_gemma":0.00005273954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001249597,"about_ca_topic_score_gemma":0.00132126,"domain_scores_codex":[0.9986887,0.00001607619,0.000148559,0.0004103192,0.0004698042,0.0002665452],"domain_scores_gemma":[0.999542,0.00003161481,0.0000981521,0.0001047275,0.00001290068,0.0002105838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000124512,0.00004964804,0.1481266,0.00000162051,0.000001921872,0.000001193395,0.0001888761,0.00005300689,0.805081,0.000004773174,0.000009043114,0.04646985],"study_design_scores_gemma":[0.0001787319,0.00006324165,0.919202,0.00002820245,0.000009295371,0.000005757006,0.0001475633,0.003224655,0.07492007,0.002025,0.00005084616,0.0001446162],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998134,0.0006833975,0.000006599652,0.0004443753,0.00007914536,0.0001358365,0.00001194142,0.00002246813,0.0004821925],"genre_scores_gemma":[0.9994588,0.0001533143,0.0001048201,0.000046046,0.0001859139,0.000006140614,0.00001075116,8.738537e-7,0.00003336736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7710754,"threshold_uncertainty_score":0.5108504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03164466638079023,"score_gpt":0.2519875584517536,"score_spread":0.2203428920709634,"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."}}