{"id":"W4246486855","doi":"10.1515/iupac.88.1159","title":"Otic","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Ear Surgery and Otitis Media","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":[0.0008770984,0.001335509,0.001189819,0.004536627,0.0008096664,0.003458695,0.001799041,0.001461535,0.1841713],"category_scores_gemma":[0.01019415,0.0004843585,0.001393946,0.006273915,0.0003431601,0.002179127,0.002412648,0.001337842,0.1930697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536619,"about_ca_system_score_gemma":0.00298887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01671374,"about_ca_topic_score_gemma":0.02625012,"domain_scores_codex":[0.998541,0.0002210168,0.0003356895,0.000395491,0.0003378842,0.0001689372],"domain_scores_gemma":[0.9965412,0.0008421762,0.0005381663,0.0007555729,0.001061317,0.000261505],"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":[0.0001424952,0.00001648757,0.002065858,0.00270567,0.00004792458,0.00004642586,0.00003364745,0.0001882024,0.0001521559,0.001259844,0.9800195,0.01332184],"study_design_scores_gemma":[0.0001028298,0.00001405656,0.003763544,0.0009915078,0.00003105291,0.00008535256,0.00006160908,0.0001438952,0.0001632284,0.00096606,0.9936582,0.00001873238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001414259,0.0002444119,0.0001116196,0.0001129905,0.00006195545,0.00002651952,0.9954125,0.0003074117,0.003581113],"genre_scores_gemma":[0.0005712296,0.0003232681,0.0003230487,0.000192606,0.00002801736,0.00008981473,0.9962162,0.00008447094,0.002171419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8158287,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355204707707823,"score_gpt":0.4488009839669145,"score_spread":0.4252489368898362,"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."}}