{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005136217,0.0005014921,0.0006190717,0.00003214699,0.0001852739,0.0001056551,0.0009497853,0.0005218172,0.01882653],"category_scores_gemma":[0.0006048717,0.0001679922,0.0002687875,0.0002105336,0.000150822,0.00006834892,0.0002866303,0.0004449937,0.00002213251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002820695,"about_ca_system_score_gemma":0.0001635829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002030113,"about_ca_topic_score_gemma":0.005279982,"domain_scores_codex":[0.9972501,0.0001413321,0.0005215171,0.0006942514,0.0007602021,0.0006326147],"domain_scores_gemma":[0.9985685,0.0002675391,0.0003038401,0.0002658534,0.0003745718,0.000219686],"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":[0.00006823758,0.0001287508,0.00001151631,0.00001703179,0.00003797049,0.00007301086,0.000002035427,7.558205e-8,0.04926572,0.000003813245,0.9299282,0.02046359],"study_design_scores_gemma":[0.0003979554,0.0002475449,0.0001879648,0.0001766823,0.0001040674,0.00006105201,0.000006174568,2.736797e-7,0.0005697981,0.0001418658,0.9976079,0.0004986644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002551357,0.0007111323,0.00001031728,0.001347958,0.0009528936,0.0003308691,0.9939606,0.000109641,0.0000251961],"genre_scores_gemma":[0.0001328022,0.0004901771,0.00002986582,0.0007616807,0.003137152,0.00001160524,0.9949027,0.000003961007,0.0005300803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06767971,"threshold_uncertainty_score":0.9820704,"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."}}