{"id":"W4241707067","doi":"10.1515/iupac.78.0371","title":"Insecticide","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","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; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007523954,0.001595438,0.001530311,0.004037702,0.000632866,0.001888275,0.002108253,0.001396199,0.1080175],"category_scores_gemma":[0.005309278,0.0004777653,0.001128153,0.007383964,0.000304846,0.001652247,0.001359438,0.001509304,0.08812133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001755813,"about_ca_system_score_gemma":0.002342099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02048396,"about_ca_topic_score_gemma":0.04035138,"domain_scores_codex":[0.9989468,0.0001410858,0.0002110306,0.0003274639,0.0002794371,0.00009406242],"domain_scores_gemma":[0.997969,0.0005901945,0.0004070926,0.0003341258,0.0005741862,0.0001253957],"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":[0.0001052359,0.00001884876,0.001367302,0.002813249,0.00004550342,0.00003761739,0.00002471992,0.0002832665,0.0001877071,0.0009555055,0.9868931,0.00726799],"study_design_scores_gemma":[0.00008528902,0.00001173236,0.003003596,0.000673488,0.00003045233,0.0000587924,0.0000337608,0.0001099615,0.0001499199,0.0008019283,0.9950258,0.00001520697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006980686,0.0001679603,0.0000446801,0.00004376583,0.00001147004,0.000009530403,0.9986137,0.00006747182,0.0009716526],"genre_scores_gemma":[0.0003944271,0.0002621374,0.0002834014,0.0001118127,0.000006495659,0.00007691598,0.9978352,0.00003472311,0.0009948805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1080175,"threshold_uncertainty_score":0.3613545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287275219283827,"score_gpt":0.4009610172648421,"score_spread":0.3722334953364594,"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."}}