{"id":"W4234042437","doi":"10.1515/iupac.88.1013","title":"Marfan Syndrome","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Vascular anomalies and interventions","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; Data mining; Philosophy","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":[0.001197256,0.0009590006,0.001526574,0.005022784,0.0006367544,0.001686884,0.001106706,0.001119837,0.06313421],"category_scores_gemma":[0.01256345,0.000379535,0.001296623,0.007293554,0.0002569738,0.001544818,0.001221407,0.001545972,0.02471937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007943889,"about_ca_system_score_gemma":0.002225407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009460835,"about_ca_topic_score_gemma":0.0162073,"domain_scores_codex":[0.9984806,0.0002304177,0.000571684,0.0003602629,0.0002219645,0.0001349759],"domain_scores_gemma":[0.9956899,0.001507891,0.001101393,0.0006656509,0.0007558871,0.0002793522],"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":[0.000429293,0.00002713768,0.01073477,0.003768906,0.0002311653,0.0003011047,0.00007023487,0.0002050321,0.0001655008,0.001573808,0.9526645,0.02982868],"study_design_scores_gemma":[0.0005388989,0.00004174158,0.04691904,0.006880563,0.000280016,0.002040822,0.0001792088,0.0003015155,0.0002914661,0.004176388,0.9382619,0.00008848903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001071366,0.001814096,0.0002722959,0.0003502381,0.000110935,0.00008563067,0.9919105,0.0001702214,0.004214582],"genre_scores_gemma":[0.003584824,0.002106671,0.0009097173,0.0004039615,0.00007938045,0.0005173403,0.9902074,0.00007469166,0.002116093],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06313421,"threshold_uncertainty_score":0.2112049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218992840026399,"score_gpt":0.4524999596265232,"score_spread":0.4303100312262592,"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."}}