{"id":"W4251469727","doi":"10.1515/iupac.78.0612","title":"Tolerable Daily Intake (TDI)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Pesticide; Chemical nomenclature; Relation (database); Computer science; Data science; Management science; Environmental chemistry; Engineering; Chemistry; Ecology; Biology; Data mining","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003895903,0.0005964292,0.0006779262,0.00006212524,0.0003004646,0.00005386652,0.0006907036,0.0003208357,0.174115],"category_scores_gemma":[0.0001660065,0.0004472175,0.0001797984,0.0001661943,0.0005723549,0.000193978,0.001033274,0.000479127,0.0003620154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380764,"about_ca_system_score_gemma":0.00005855124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396825,"about_ca_topic_score_gemma":0.003943745,"domain_scores_codex":[0.9964589,0.00006932741,0.0005289685,0.0008208081,0.00140367,0.0007183671],"domain_scores_gemma":[0.9985237,0.00008720518,0.0002500331,0.0008712766,0.00001568381,0.0002520952],"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":[0.00006097067,0.0002013224,0.0006256147,0.00002584821,0.00006086023,0.00008852744,0.00001667672,0.00001638097,0.00009139112,0.000001692627,0.9943171,0.004493581],"study_design_scores_gemma":[0.0006048748,0.0002071048,0.003624109,0.000143887,0.0001028405,0.00001618418,0.00003023031,0.000002746531,0.0000461306,0.0002747227,0.994344,0.0006031804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000891262,0.0005709265,0.00006781312,0.0005080772,0.0004724804,0.0002916463,0.9945382,0.0000629183,0.002596678],"genre_scores_gemma":[0.0001710677,0.001671006,0.000108658,0.001110738,0.0004969081,0.00003648179,0.9929001,0.00004967029,0.003455398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.173753,"threshold_uncertainty_score":0.9997979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169431645974547,"score_gpt":0.3374291288440827,"score_spread":0.3257348123843372,"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."}}