{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003707758,0.0003754655,0.0009019121,0.0002075081,0.000233858,0.0001026611,0.0003964186,0.0003968519,0.01156786],"category_scores_gemma":[0.0004689132,0.0003170611,0.0008521673,0.00006790629,0.0001642674,0.00007404042,0.0002095254,0.0006735544,0.00002343743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002608391,"about_ca_system_score_gemma":0.0005865885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004001214,"about_ca_topic_score_gemma":0.0008436757,"domain_scores_codex":[0.9977984,0.00003833921,0.0004483207,0.0004481856,0.0008937969,0.0003728873],"domain_scores_gemma":[0.9972494,0.00001501309,0.000271371,0.00182122,0.0003873892,0.0002555808],"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":[0.00008471471,0.0003994724,0.00004340795,0.0005248526,0.00053213,0.001111577,0.000002840059,1.348871e-7,0.000001301777,0.0000050551,0.9964526,0.0008418898],"study_design_scores_gemma":[0.001396262,0.0008861268,0.001772616,0.001485851,0.0008995965,0.001295352,0.00001735478,0.000003985775,0.000002152289,0.00002758729,0.9919106,0.0003024799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005710674,0.001817036,0.00003093058,0.001077192,0.0008776158,0.0003890462,0.994831,0.00005722652,0.0003488721],"genre_scores_gemma":[0.0001905135,0.0008508958,0.00006693615,0.0003013042,0.0004600841,0.00001622173,0.9912932,0.00004698084,0.006773856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01154442,"threshold_uncertainty_score":0.9999282,"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."}}