{"id":"W4249976099","doi":"10.1515/iupac.88.1426","title":"Trachea","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Tracheal and airway disorders","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":[0.001252262,0.001483506,0.001424394,0.003872055,0.0007733724,0.003198189,0.002404304,0.002121103,0.1394074],"category_scores_gemma":[0.01065173,0.0005357364,0.001604004,0.005396581,0.000350554,0.002472084,0.002418217,0.001469975,0.1816816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546369,"about_ca_system_score_gemma":0.002951527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01397948,"about_ca_topic_score_gemma":0.02433616,"domain_scores_codex":[0.9982046,0.000316361,0.0004175181,0.0005060934,0.0003529431,0.0002023996],"domain_scores_gemma":[0.9959456,0.001040358,0.0005853279,0.0007823183,0.00137201,0.000274357],"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":[0.0001194306,0.00001266512,0.001607151,0.002623052,0.00004176789,0.00004180468,0.00003646216,0.000157891,0.0001432839,0.001034546,0.9846843,0.009497634],"study_design_scores_gemma":[0.0001120718,0.00001565768,0.00295817,0.00121057,0.00003396753,0.0001116411,0.00006868799,0.0001579734,0.0001809879,0.001162042,0.9939658,0.00002233305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001219735,0.0002690174,0.0001286044,0.0001341538,0.00005851391,0.00003331476,0.9964162,0.0004231748,0.002415076],"genre_scores_gemma":[0.0004816838,0.0003140917,0.0004136659,0.0002541153,0.00002421507,0.0001135592,0.9966668,0.000101196,0.00163053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8605926,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299970635326494,"score_gpt":0.4501953061705429,"score_spread":0.4271955998172779,"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."}}