{"id":"W4246796147","doi":"10.1515/iupac.78.0413","title":"Microbial Pesticide","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Entomopathogenic Microorganisms in Pest Control","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; Management science; Ecology; 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":[0.0009951441,0.001993723,0.001609077,0.006515224,0.000917116,0.002620444,0.002570861,0.001994328,0.09711519],"category_scores_gemma":[0.007726331,0.0006061719,0.001311046,0.01188516,0.0003775881,0.002341425,0.002184092,0.001890172,0.09975137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002065006,"about_ca_system_score_gemma":0.003372435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02494229,"about_ca_topic_score_gemma":0.04914215,"domain_scores_codex":[0.9986073,0.0001965408,0.0002880497,0.000383808,0.0003799262,0.0001444277],"domain_scores_gemma":[0.9972487,0.0008437013,0.0004376706,0.0004565778,0.0007890664,0.0002242607],"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":[0.00008045082,0.00001935423,0.00101108,0.002976956,0.00003647717,0.00003621962,0.00003753179,0.000241676,0.0002052656,0.0009315133,0.9883125,0.006110854],"study_design_scores_gemma":[0.00006551813,0.000009124202,0.00194296,0.0006976241,0.00002232769,0.0000394368,0.00004312223,0.00009273727,0.0001356748,0.0006719945,0.9962646,0.00001480542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004906489,0.0001470152,0.00004157282,0.00004379919,0.00001133147,0.000009042916,0.9988919,0.00008795043,0.0007183483],"genre_scores_gemma":[0.0001959382,0.0002102147,0.0002575289,0.00007078831,0.000004372262,0.00006838841,0.9985668,0.0000295075,0.0005965708],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09711519,"threshold_uncertainty_score":0.3248827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009812408593927091,"score_gpt":0.3223640697944796,"score_spread":0.3125516612005526,"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."}}