{"id":"W4245795169","doi":"10.1515/iupac.87.0463","title":"Neurotoxin","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Chemistry; Linguistics; Philosophy; Organic chemistry; 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":[0.001198358,0.001306609,0.001351061,0.003893617,0.0007079304,0.002412793,0.001920254,0.001505687,0.06548662],"category_scores_gemma":[0.007582601,0.0005497309,0.001639905,0.006318133,0.0003509587,0.001489681,0.001765527,0.001980993,0.06436796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001896369,"about_ca_system_score_gemma":0.003309702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01628301,"about_ca_topic_score_gemma":0.02980027,"domain_scores_codex":[0.9985551,0.0002030632,0.0003722106,0.0003773056,0.000351013,0.0001412231],"domain_scores_gemma":[0.9965976,0.000817066,0.0006312295,0.0006868663,0.00105111,0.0002162354],"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":[0.0002713226,0.00003218257,0.003974739,0.004394058,0.000114934,0.00006165806,0.00003816144,0.0003603935,0.000357011,0.001545289,0.9749497,0.01390075],"study_design_scores_gemma":[0.0001925094,0.00002562612,0.0071948,0.001009077,0.00006896647,0.0001398495,0.00004244814,0.0001488834,0.0002931093,0.001102023,0.9897618,0.00002093708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001744417,0.000344429,0.00009919446,0.00009431366,0.00003854917,0.00002259098,0.9975029,0.0001409808,0.001582711],"genre_scores_gemma":[0.0005119684,0.0003749678,0.0004235209,0.0001553991,0.0000110469,0.00007956895,0.9971973,0.00003959606,0.001206659],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06548662,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221028113501613,"score_gpt":0.4695049975641064,"score_spread":0.4472947164290903,"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."}}