{"id":"W4245879562","doi":"10.1515/iupac.78.0530","title":"Regulatory Method","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; Relation (database); Chemical nomenclature; Computer science; Pesticide; Management science; Data science; Ecology; Chemistry; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002846565,0.00182603,0.001423714,0.008247432,0.001295639,0.003644859,0.00355069,0.002496874,0.1679441],"category_scores_gemma":[0.01874894,0.000754493,0.001949078,0.01028253,0.0006043829,0.002639453,0.002135172,0.002699056,0.1265066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003131006,"about_ca_system_score_gemma":0.006354158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02784124,"about_ca_topic_score_gemma":0.04159918,"domain_scores_codex":[0.9956354,0.0008041559,0.0009468145,0.00128895,0.0009704201,0.0003542645],"domain_scores_gemma":[0.9917081,0.003015108,0.0009383246,0.001627564,0.002368612,0.0003423166],"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":[0.00007969494,0.0000246518,0.0009184276,0.001583194,0.00003570979,0.00003424817,0.00003751587,0.0003293817,0.0001034721,0.0020375,0.9870347,0.007781452],"study_design_scores_gemma":[0.00009430565,0.000008228752,0.001293698,0.0007331414,0.00002221147,0.00004399339,0.0000610454,0.0001890668,0.0001361869,0.001601759,0.9957967,0.00001970573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009432826,0.0001380626,0.0002708018,0.0001150932,0.00003185898,0.00007638505,0.9970552,0.0002160058,0.00200235],"genre_scores_gemma":[0.0003879355,0.0001665794,0.001031163,0.0001613897,0.00001208039,0.0005509545,0.9959758,0.00009439533,0.001619714],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1679441,"threshold_uncertainty_score":0.5618291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121528711083714,"score_gpt":0.3775372133010263,"score_spread":0.3653843421926549,"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."}}