{"id":"W4229692520","doi":"10.1515/iupac.87.0506","title":"Paraplegia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cholinesterase and Neurodegenerative Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; 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":[0.0005570307,0.001092534,0.001325264,0.002422784,0.0005754067,0.001515037,0.00130009,0.0009978143,0.08337478],"category_scores_gemma":[0.007111843,0.0002528288,0.001530152,0.003156868,0.0002377948,0.0009655024,0.00111302,0.001158216,0.04344876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000987513,"about_ca_system_score_gemma":0.001530054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008862262,"about_ca_topic_score_gemma":0.02121055,"domain_scores_codex":[0.999151,0.0001058917,0.0002869761,0.0002310157,0.0001190647,0.0001060736],"domain_scores_gemma":[0.9979588,0.00047315,0.0005050335,0.0003265936,0.0005850005,0.0001515356],"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":[0.001260665,0.00007359208,0.01454991,0.006458821,0.0003278274,0.0002124255,0.00004866385,0.0003591168,0.00016345,0.0008454474,0.9491174,0.02658272],"study_design_scores_gemma":[0.00150215,0.0002005563,0.08963097,0.006084001,0.0004354641,0.001551435,0.0002315328,0.0007166797,0.0005624243,0.004175055,0.8947949,0.0001146225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001095751,0.0005880498,0.0001166994,0.00009995145,0.0000513599,0.0001051539,0.9943209,0.0001470183,0.003475096],"genre_scores_gemma":[0.004343571,0.0007396524,0.0003638395,0.0002511661,0.00003976232,0.0004989741,0.9909758,0.00004131249,0.002745944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08337478,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460717972085514,"score_gpt":0.4418669377041022,"score_spread":0.417259757983247,"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."}}