{"id":"W4253408830","doi":"10.1515/iupac.78.0533","title":"Repellent","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; Data 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":[0.0008197497,0.001950791,0.001670811,0.004825699,0.0008043017,0.002329635,0.002703016,0.001805242,0.1101305],"category_scores_gemma":[0.006789244,0.0005404372,0.001454101,0.00833702,0.0003745593,0.00191294,0.001718719,0.001685342,0.09608644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752504,"about_ca_system_score_gemma":0.002679039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221898,"about_ca_topic_score_gemma":0.0491694,"domain_scores_codex":[0.9987959,0.0001649823,0.0002464501,0.000357355,0.0003072678,0.000128048],"domain_scores_gemma":[0.9976509,0.0007852078,0.000409659,0.0003680164,0.0006179529,0.0001681492],"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":[0.00009126177,0.00001959754,0.001151278,0.002833242,0.00004007604,0.00003340597,0.00002972628,0.0002126395,0.00017129,0.0008568383,0.9882463,0.00631439],"study_design_scores_gemma":[0.0001039524,0.0000143993,0.002833233,0.0007994373,0.00003304634,0.00006146567,0.00004217699,0.0001122341,0.0001395945,0.0008286425,0.9950138,0.00001798774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007122477,0.0001979592,0.00004204915,0.0000499965,0.00001266937,0.00001100131,0.9986518,0.00008241033,0.0008809721],"genre_scores_gemma":[0.0003024861,0.000232807,0.0002565093,0.0001021365,0.00000587963,0.00008326875,0.9981804,0.00003493765,0.0008016073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1101305,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285486968973231,"score_gpt":0.4030915988416322,"score_spread":0.3745429019443091,"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."}}