{"id":"W4230571109","doi":"10.1515/iupac.87.0518","title":"Peripheral Neuropathy","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; Psychology; Medicine; 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":[0.0007255884,0.001191463,0.001355116,0.002419943,0.0005712381,0.001975686,0.001676925,0.001282242,0.09203009],"category_scores_gemma":[0.007258042,0.0003707927,0.001666616,0.00394742,0.000232682,0.001256654,0.001244328,0.001471652,0.04039472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241562,"about_ca_system_score_gemma":0.002089547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056855,"about_ca_topic_score_gemma":0.02259606,"domain_scores_codex":[0.99911,0.0001161491,0.000245817,0.0002678869,0.0001610213,0.00009908971],"domain_scores_gemma":[0.9970388,0.0007926946,0.0006816583,0.0004900608,0.0008194024,0.0001773587],"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":[0.001132465,0.00006799897,0.009588432,0.007489127,0.0002701158,0.0001576302,0.0000351204,0.000488779,0.0001889358,0.0009244487,0.9478235,0.03183353],"study_design_scores_gemma":[0.001333776,0.0001364226,0.04099034,0.006497397,0.0003694328,0.001007405,0.0001480672,0.0006124532,0.0005631679,0.003231003,0.9450372,0.00007343781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007117574,0.0007316656,0.0001369756,0.0001150417,0.00006286939,0.00008117296,0.9939566,0.0001813392,0.004022601],"genre_scores_gemma":[0.002654937,0.0009954491,0.000583375,0.0003453338,0.00003883646,0.0003371203,0.9917902,0.00004501891,0.003209701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09203009,"threshold_uncertainty_score":0.3078713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183244224904887,"score_gpt":0.4437299270849612,"score_spread":0.4254055045944725,"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."}}