{"id":"W4250262155","doi":"10.1515/iupac.78.0523","title":"Reduced Risk Pesticide","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Pesticide; Relation (database); Chemical nomenclature; Computer science; Chemistry; Ecology; Biology; Data mining","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005061125,0.0006649195,0.0007172359,0.0000720954,0.0003779929,0.00004427282,0.0006885295,0.0003444669,0.1048581],"category_scores_gemma":[0.0006903823,0.0004932056,0.000220687,0.0001790216,0.000711994,0.0001465062,0.0009756678,0.0006368432,0.0002546896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382883,"about_ca_system_score_gemma":0.00006786927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002017583,"about_ca_topic_score_gemma":0.003318005,"domain_scores_codex":[0.9960761,0.0001376028,0.0005870592,0.000920845,0.001522802,0.0007555884],"domain_scores_gemma":[0.9981064,0.0001789639,0.0004369197,0.0009585624,0.00001910947,0.0003000463],"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":[0.00007383938,0.0001875741,0.001503816,0.00001826934,0.00008223044,0.00008847366,0.00001461728,0.00002627851,0.0001164974,6.762019e-7,0.9916064,0.006281386],"study_design_scores_gemma":[0.0005789876,0.0002262244,0.01431387,0.0001383122,0.0002731137,0.00001965092,0.00001854995,0.000003527005,0.000067238,0.0004977184,0.9831992,0.0006635497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003951046,0.0004777344,0.00009197443,0.0003745052,0.0004813307,0.0003373172,0.9935259,0.00007605024,0.0006841652],"genre_scores_gemma":[0.0003861091,0.003295873,0.0001438236,0.0004425872,0.0006008571,0.00003776202,0.9939482,0.00005875543,0.001086074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1046034,"threshold_uncertainty_score":0.999752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051691979820519,"score_gpt":0.3431857292055583,"score_spread":0.3326688094073531,"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."}}