{"id":"W4239746613","doi":"10.1515/iupac.87.0023","title":"Afferent","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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; Psychology; 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":[0.001692803,0.001532857,0.00123301,0.003590374,0.001055951,0.003744922,0.002693816,0.002071281,0.2611239],"category_scores_gemma":[0.01976042,0.0006215406,0.001529047,0.006428669,0.0004729106,0.002897335,0.002347969,0.001799689,0.2589104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002374361,"about_ca_system_score_gemma":0.00386791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01665437,"about_ca_topic_score_gemma":0.02875009,"domain_scores_codex":[0.99723,0.0004708855,0.0005390099,0.0008146086,0.0005980966,0.0003474449],"domain_scores_gemma":[0.9920474,0.002003355,0.000639325,0.001706198,0.003193138,0.0004105268],"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":[0.0001176615,0.00001505499,0.001081814,0.0008400282,0.00001823671,0.00001708266,0.00001971933,0.0001223009,0.00004632681,0.0009183282,0.990759,0.006044415],"study_design_scores_gemma":[0.0001680605,0.00001909202,0.002570691,0.0006651761,0.00002184421,0.00006493693,0.0001010869,0.0001763081,0.0001545647,0.002324277,0.9937119,0.00002202283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001386032,0.0001002157,0.0001217379,0.0001673778,0.00005870384,0.00004122126,0.9958084,0.0002819263,0.003281823],"genre_scores_gemma":[0.0006670803,0.0001464689,0.0005110599,0.0003047011,0.00002424654,0.000221983,0.9944353,0.0001046332,0.003584517],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2611239,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191975947937664,"score_gpt":0.4286946835161691,"score_spread":0.4094970887224028,"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."}}