{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009807723,0.001695402,0.001517188,0.003617116,0.0006623337,0.002125727,0.002331932,0.001394867,0.1030411],"category_scores_gemma":[0.006641157,0.0005224994,0.001454469,0.005389788,0.0002764129,0.001451027,0.001494108,0.001351006,0.1022341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355152,"about_ca_system_score_gemma":0.002503525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01854296,"about_ca_topic_score_gemma":0.04252812,"domain_scores_codex":[0.9986994,0.0002065276,0.0002398489,0.0004118433,0.000319098,0.0001232101],"domain_scores_gemma":[0.9975768,0.0006685603,0.0004111032,0.0005124828,0.0006690604,0.0001620761],"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":[0.0001913005,0.00003068348,0.002651774,0.002964167,0.0001058012,0.00003974469,0.00002349653,0.0003746835,0.0002064135,0.000871054,0.9802986,0.01224228],"study_design_scores_gemma":[0.0001534397,0.00001858294,0.004798339,0.0005857373,0.00006277308,0.00006365935,0.00003805742,0.0001713516,0.0002304913,0.0007742837,0.9930834,0.00001998116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001107547,0.0001625617,0.00005757915,0.00003742304,0.00001861837,0.00001240886,0.9983422,0.00013724,0.001121218],"genre_scores_gemma":[0.0004061713,0.0001836337,0.0003027379,0.00008047056,0.000007150027,0.00006486107,0.9977728,0.00004226281,0.001139958],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1030411,"threshold_uncertainty_score":0,"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."}}