{"id":"W4235860746","doi":"10.1515/iupac.88.1000","title":"Lymphatic","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Lymphatic System and Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001536968,0.001360163,0.001451432,0.004436635,0.0007670313,0.003453176,0.00257599,0.001909631,0.1363397],"category_scores_gemma":[0.01350406,0.0005736459,0.001649198,0.007788116,0.0003933548,0.002646047,0.002626499,0.001682873,0.1439577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634811,"about_ca_system_score_gemma":0.003618354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01298624,"about_ca_topic_score_gemma":0.02256538,"domain_scores_codex":[0.998055,0.0003956534,0.0004656822,0.0005087881,0.0003463304,0.0002286091],"domain_scores_gemma":[0.9954169,0.001419479,0.0006786531,0.0008951517,0.001263678,0.0003261674],"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":[0.0001238771,0.00001326632,0.001585187,0.002994141,0.00005357408,0.00003695524,0.00004200224,0.000161341,0.000107419,0.001394201,0.9855521,0.007935871],"study_design_scores_gemma":[0.0001405058,0.00001307223,0.002471015,0.001330726,0.00003683496,0.00007990601,0.00006711022,0.0001232778,0.0001290952,0.001342009,0.9942465,0.00002008179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009199046,0.0002327828,0.0001037872,0.0001356061,0.00004699681,0.00002736867,0.9973481,0.0002554906,0.001757827],"genre_scores_gemma":[0.0003902942,0.0002991866,0.0003365986,0.0002315271,0.00002000648,0.0001389206,0.9972951,0.00008553956,0.001202888],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8636603,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02328125631194787,"score_gpt":0.4557344799593995,"score_spread":0.4324532236474516,"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."}}