{"id":"W4236111132","doi":"10.1515/iupac.79.1678","title":"Nematicide","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Parasites and Host Interactions","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; Chemistry; Biology; Philosophy; Linguistics","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":[0.0002026958,0.0003401678,0.0005711569,0.0001914314,0.0001708575,0.00002572099,0.0003765321,0.0005576535,0.04217464],"category_scores_gemma":[0.0003753047,0.0002389249,0.0002087995,0.00008044549,0.0001711829,0.00006761824,0.0001258833,0.0006043777,0.0002521869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831227,"about_ca_system_score_gemma":0.0003237351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002000032,"about_ca_topic_score_gemma":0.0006834298,"domain_scores_codex":[0.9985875,0.0001079653,0.0004335512,0.0003569771,0.00009825466,0.0004157104],"domain_scores_gemma":[0.9985593,0.0001986184,0.0002570136,0.000693992,0.0002540236,0.00003703546],"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":[0.0001052463,0.0001804289,0.000007223152,0.000041548,0.0003287695,0.00001948822,0.000008257401,1.687907e-7,0.0008267792,0.00002370935,0.9970821,0.001376241],"study_design_scores_gemma":[0.0007226194,0.0001556164,0.00004775413,0.0003330947,0.0001720022,0.0001171296,0.00001928097,9.010549e-8,0.0002617154,0.00009791042,0.9977732,0.0002996154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001348218,0.002128164,0.00009202358,0.0006084277,0.002424318,0.000190109,0.9940931,0.00006771451,0.0002613469],"genre_scores_gemma":[0.00002929278,0.0005950883,0.00001096077,0.0003478498,0.0002764825,0.00001743437,0.9910443,0.00002301038,0.007655526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04192245,"threshold_uncertainty_score":0.9743075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149109625361608,"score_gpt":0.426313861465164,"score_spread":0.4114028989290032,"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."}}