{"id":"W4250119028","doi":"10.1515/iupac.81.0923","title":"Tracer","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Computer science; Environmental chemistry; Risk assessment; Chemistry; Philosophy; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00155263,0.002027449,0.001296662,0.004145358,0.001265215,0.003922656,0.003544945,0.002397816,0.1443248],"category_scores_gemma":[0.01098961,0.0007189774,0.001815012,0.006609326,0.0005177181,0.003294631,0.003079161,0.00246195,0.2133712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225774,"about_ca_system_score_gemma":0.003359344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02889855,"about_ca_topic_score_gemma":0.06347317,"domain_scores_codex":[0.9977493,0.0004114216,0.0002787169,0.0007494666,0.0005183542,0.0002928233],"domain_scores_gemma":[0.9959466,0.000960744,0.0003376832,0.001189053,0.001253959,0.0003119579],"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":[0.00007038563,0.0000198707,0.001156844,0.0005844923,0.00002401014,0.00001951074,0.00003671714,0.0002527988,0.00009146913,0.001488339,0.991106,0.005149614],"study_design_scores_gemma":[0.0000865792,0.00001199192,0.001638046,0.0003270018,0.00001528757,0.00004870786,0.00009085848,0.0003490568,0.0001900927,0.002269154,0.9949529,0.00002026101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001552855,0.0001310247,0.0002002746,0.000161217,0.00006135141,0.00002387424,0.9964132,0.0006287379,0.002225018],"genre_scores_gemma":[0.0003827984,0.00009394567,0.0005836099,0.0001156346,0.00001033595,0.00007579412,0.9968786,0.0001374991,0.001721774],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8556752,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755366330669342,"score_gpt":0.4306373983275414,"score_spread":0.4130837350208481,"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."}}