{"id":"W4252587534","doi":"10.1515/iupac.78.0441","title":"Nematicide","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; Pesticide; Relation (database); Computer science; Ecology; 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":[0.0008776393,0.001705362,0.0014713,0.00475696,0.0006942122,0.002031878,0.002330625,0.001412759,0.1135105],"category_scores_gemma":[0.006092772,0.0004943061,0.00116909,0.007926298,0.0003183842,0.001721742,0.001462315,0.001515853,0.1004946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001776177,"about_ca_system_score_gemma":0.002819266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02186451,"about_ca_topic_score_gemma":0.04614259,"domain_scores_codex":[0.9987382,0.0001794416,0.0002574702,0.000391972,0.0003202741,0.000112528],"domain_scores_gemma":[0.9974831,0.0007229368,0.0004636614,0.0004374702,0.0007359661,0.000156996],"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":[0.00007439169,0.00001708372,0.001133564,0.002098364,0.00003763751,0.0000270224,0.00001998135,0.0002067729,0.0001522072,0.0008181556,0.9885837,0.006831047],"study_design_scores_gemma":[0.00008335953,0.00001084137,0.00264312,0.0005831675,0.00002664603,0.00004441472,0.00003355344,0.0001066775,0.0001484843,0.0007052348,0.9956007,0.00001372109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005929585,0.000132246,0.00004521758,0.00004060811,0.00001232494,0.000009393058,0.9987906,0.000080984,0.0008293417],"genre_scores_gemma":[0.0002835872,0.0002008767,0.0002627918,0.00008448456,0.000005646403,0.00006855785,0.9981439,0.00003580462,0.0009143729],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1135105,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615861808277633,"score_gpt":0.361117325300915,"score_spread":0.3449587072181386,"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."}}