{"id":"W4232448836","doi":"10.1515/iupac.87.0058","title":"Aphonia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Psychology; Computer science; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":[0.0009668528,0.001450274,0.001059825,0.003242389,0.0008033645,0.002704997,0.001814148,0.001372167,0.1607568],"category_scores_gemma":[0.00704359,0.0004786158,0.001115983,0.004422966,0.0003822183,0.001995138,0.002402114,0.001426943,0.223777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119293,"about_ca_system_score_gemma":0.002183108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0106006,"about_ca_topic_score_gemma":0.02412447,"domain_scores_codex":[0.9989148,0.0001844891,0.0002112729,0.0003067609,0.0002568065,0.0001257862],"domain_scores_gemma":[0.9978833,0.0005586809,0.0002188047,0.0005891838,0.000541235,0.000208811],"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":[0.00007821011,0.00001636913,0.0004999976,0.0007611531,0.00001578375,0.00003397881,0.00002768022,0.0001192995,0.0001604936,0.0006223309,0.9909314,0.00673337],"study_design_scores_gemma":[0.00007544195,0.0000123097,0.001620391,0.0002627488,0.00001255403,0.00008181621,0.00005613924,0.0002858576,0.0003041607,0.001179,0.9960942,0.0000153042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002096498,0.0001382621,0.0002158325,0.0001166994,0.00006338146,0.00003848102,0.9945757,0.001184652,0.003457269],"genre_scores_gemma":[0.0004591133,0.0001117739,0.0005827249,0.00013009,0.00001297163,0.00009194766,0.9961579,0.0001361801,0.002317228],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1607568,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218747498542836,"score_gpt":0.3949302460189032,"score_spread":0.3827427710334748,"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."}}