{"id":"W4233352136","doi":"10.1515/iupac.78.0206","title":"Chloride Channel Activator","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Pesticide; Relation (database); Management science; Chemistry; Engineering; 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":[0.0008456028,0.001675405,0.001722351,0.003364755,0.0009714952,0.0025582,0.002891829,0.002148689,0.1108285],"category_scores_gemma":[0.006024804,0.0005559979,0.001456042,0.006125881,0.0003824206,0.002005216,0.001550535,0.001877495,0.1051744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714052,"about_ca_system_score_gemma":0.003142633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01900991,"about_ca_topic_score_gemma":0.03869032,"domain_scores_codex":[0.9989611,0.0001303497,0.0001970872,0.0003602763,0.0002343066,0.0001168085],"domain_scores_gemma":[0.9972435,0.001013031,0.0004696584,0.0004386582,0.0006394219,0.000195634],"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":[0.0001859614,0.0000208847,0.001628129,0.002641018,0.00003927441,0.00005297403,0.00003371444,0.000257458,0.000325608,0.0008284395,0.9881387,0.00584787],"study_design_scores_gemma":[0.0001976592,0.0000239853,0.00511804,0.00100391,0.00006555844,0.0001336604,0.00005671749,0.000211984,0.0003711679,0.001536852,0.9912436,0.00003690902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001060391,0.0002765542,0.00008186451,0.00007624624,0.00002066748,0.00001238857,0.9983575,0.0001396531,0.0009290253],"genre_scores_gemma":[0.0005204254,0.0003462474,0.0003377062,0.0001846653,0.000009622143,0.0001044187,0.9975212,0.00005831832,0.0009174279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1108285,"threshold_uncertainty_score":0.3707584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766607688367552,"score_gpt":0.3444955641258908,"score_spread":0.3268294872422153,"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."}}