{"id":"W4255323421","doi":"10.1515/iupac.78.0109","title":"Acaricide","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 Guelph","funders":"","keywords":"Glossary; Acaricide; Computer science; Relation (database); Management science; Toxicology; Engineering; Biology; Data mining; 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":[],"consensus_categories":[],"category_scores_codex":[0.001023936,0.001391741,0.001292031,0.005411249,0.0008104955,0.002829136,0.002371876,0.001541268,0.1492823],"category_scores_gemma":[0.009552147,0.0004659942,0.001109848,0.008679879,0.0003480774,0.002004747,0.001987125,0.001522579,0.1564679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153041,"about_ca_system_score_gemma":0.003101846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01823384,"about_ca_topic_score_gemma":0.04405804,"domain_scores_codex":[0.9986354,0.0002617713,0.0002427275,0.0004019345,0.0003267314,0.0001314269],"domain_scores_gemma":[0.9967506,0.00104142,0.0004562203,0.0005956226,0.0008912614,0.0002648315],"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":[0.00005855042,0.00001189735,0.0005494318,0.001211722,0.00002247608,0.00001835687,0.00002352627,0.0001298565,0.00008547535,0.0007558133,0.9933034,0.003829441],"study_design_scores_gemma":[0.00007569488,0.000008464679,0.001235394,0.0004244867,0.00001558341,0.00003031963,0.00003572457,0.00009820844,0.00008814092,0.0007818275,0.9971935,0.00001265248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005719194,0.0001122561,0.00004857419,0.00008007653,0.00001753298,0.00001501248,0.9980933,0.0001870725,0.001388937],"genre_scores_gemma":[0.0002407008,0.000143395,0.0002488992,0.000116361,0.000009451809,0.0001185928,0.9980709,0.00006646713,0.0009851916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1492823,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594402850855096,"score_gpt":0.3588472872002982,"score_spread":0.3429032586917472,"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."}}