{"id":"W4254783478","doi":"10.1515/iupac.79.0937","title":"Biopesticide","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.0001209142,0.000275297,0.0002613728,0.00001641547,0.00004339929,0.00001878952,0.0003994414,0.0002411167,0.0366195],"category_scores_gemma":[0.0002641404,0.0002091674,0.00008850153,0.0001059776,0.0001521609,0.00005044252,0.0003040686,0.0002942361,0.00002622966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004515326,"about_ca_system_score_gemma":0.00003794812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006332534,"about_ca_topic_score_gemma":0.00004519261,"domain_scores_codex":[0.9984695,0.000007494499,0.0002284891,0.0003714352,0.0006014258,0.0003217074],"domain_scores_gemma":[0.9991952,0.00004454702,0.00007501081,0.0004936222,0.00001324419,0.000178434],"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":[0.00001415276,0.00004976205,0.000006622855,0.00003873097,0.00001247507,0.00003394644,0.000001133298,0.00002622865,0.0029613,3.131778e-7,0.9955822,0.00127311],"study_design_scores_gemma":[0.0002214241,0.00001924341,0.00001228162,0.0001187969,0.00003152179,0.00001330669,0.00000135941,0.000009423229,0.003052554,0.00005278132,0.9961605,0.0003068199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003665539,0.0000640099,0.0001280762,0.000163789,0.0001685568,0.00006187885,0.9985082,0.00005360562,0.0004853098],"genre_scores_gemma":[0.0000949263,0.0001270104,0.00005778348,0.0001230699,0.000367007,0.000005875458,0.9985581,0.00001989114,0.0006463033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03659327,"threshold_uncertainty_score":0.9642612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005939589934642103,"score_gpt":0.3271572118818052,"score_spread":0.3212176219471631,"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."}}