{"id":"W4255724210","doi":"10.1515/iupac.79.1312","title":"Fungicide","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; Library science; Chemistry; Biology; Philosophy; Linguistics; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004329445,0.0003455693,0.0005847761,0.00002780806,0.0001685609,0.00006751175,0.0005463623,0.0003348154,0.0184607],"category_scores_gemma":[0.0003019991,0.0000968389,0.0003302788,0.0002671359,0.00007683002,0.00006112,0.00016118,0.0002661452,0.0000116545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247354,"about_ca_system_score_gemma":0.00007609341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004513952,"about_ca_topic_score_gemma":0.008840159,"domain_scores_codex":[0.9976866,0.00009849662,0.0004213473,0.0004901175,0.0008601122,0.0004433322],"domain_scores_gemma":[0.9988471,0.0002472552,0.0002295572,0.0001980514,0.0002822636,0.0001957948],"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":[0.00003696606,0.0000805396,0.00004076014,0.000009866382,0.00006240261,0.00004225437,5.571374e-7,3.593144e-7,0.0004903653,0.00000513649,0.9731234,0.02610734],"study_design_scores_gemma":[0.0001137893,0.0001633046,0.001502795,0.0001197812,0.0001160289,0.000007624491,0.000008106887,0.000001325508,0.00002869133,0.0001766243,0.9974291,0.0003328717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001357638,0.0009028977,0.000003814966,0.001644016,0.0001726955,0.0001131422,0.9956621,0.00004896411,0.00009474769],"genre_scores_gemma":[0.0002939971,0.001605059,0.000004863183,0.0004435971,0.001531909,0.000006154217,0.9956401,0.000001392063,0.0004729486],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02577446,"threshold_uncertainty_score":0.9824365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533436583355185,"score_gpt":0.3534429268302178,"score_spread":0.338108560996666,"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."}}