{"id":"W4234032174","doi":"10.1515/iupac.87.0429","title":"Neuritis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","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; Medicine; 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":[0.0007334725,0.001078518,0.00131394,0.002594052,0.0007171326,0.002297364,0.001470266,0.001229234,0.08812655],"category_scores_gemma":[0.008504835,0.0003210467,0.00193572,0.00405444,0.0002981713,0.001438222,0.001411918,0.001371053,0.05070934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655898,"about_ca_system_score_gemma":0.002441659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01644501,"about_ca_topic_score_gemma":0.02879217,"domain_scores_codex":[0.9987154,0.0001620963,0.0003774104,0.0003762977,0.0002180587,0.0001507152],"domain_scores_gemma":[0.997583,0.0006617113,0.0005896079,0.000433054,0.0005800457,0.0001524676],"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":[0.001747316,0.00007039205,0.01704259,0.009111024,0.000399353,0.0003295398,0.00006831589,0.0004671214,0.0003035158,0.001648398,0.9132059,0.0556065],"study_design_scores_gemma":[0.0009743348,0.0001188672,0.04583035,0.007057579,0.0004250201,0.001584751,0.0002415215,0.0006087211,0.0006098195,0.004065871,0.9384069,0.00007622676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001839501,0.002283628,0.0002382182,0.0002855178,0.0001557614,0.0001220371,0.9846665,0.0002776562,0.01013126],"genre_scores_gemma":[0.00702385,0.003153517,0.0009173394,0.00077822,0.0001048544,0.0004579601,0.9801369,0.0000966057,0.007330821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08812655,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029800467581123,"score_gpt":0.3670079531668284,"score_spread":0.3567099484910172,"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."}}