{"id":"W4237634058","doi":"10.1515/iupac.78.0418","title":"Minor Use Crop","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Pesticide; Relation (database); Computer science; Chemical nomenclature; Data science; Management science; Ecology; Engineering; Chemistry; 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":[0.0008657397,0.001683742,0.001523817,0.006241851,0.000841242,0.003675621,0.002624676,0.001451607,0.2344875],"category_scores_gemma":[0.008892112,0.0005971637,0.001233639,0.01216407,0.0004458853,0.003311513,0.002481459,0.001684738,0.2871556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693391,"about_ca_system_score_gemma":0.002846064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01976865,"about_ca_topic_score_gemma":0.03466246,"domain_scores_codex":[0.9985839,0.0001928624,0.0002617903,0.0004469575,0.0003295479,0.000185015],"domain_scores_gemma":[0.9962355,0.0009242999,0.000519337,0.000876039,0.001116953,0.0003278893],"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":[0.00002558427,0.000005454276,0.0003473757,0.0006053748,0.00001161482,0.00001208442,0.00001559835,0.00005267797,0.00005197203,0.0004748887,0.9959109,0.002486606],"study_design_scores_gemma":[0.00003540444,0.00000346366,0.001204964,0.0002615775,0.000006618026,0.00002199109,0.00003860745,0.00004498383,0.00006329396,0.0006015584,0.9977083,0.000009209441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003471095,0.00005864736,0.0000340288,0.00004923268,0.00001981418,0.000007345543,0.9982564,0.0001843687,0.001355368],"genre_scores_gemma":[0.000171397,0.0001000071,0.0001448764,0.00007348827,0.000009535394,0.00004992841,0.9978691,0.0001133301,0.001468228],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2344875,"threshold_uncertainty_score":0.784439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668538070642152,"score_gpt":0.3442314608353085,"score_spread":0.317546080128887,"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."}}