{"id":"W4238856518","doi":"10.1515/iupac.88.1461","title":"Urethra","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Urological Disorders and Treatments","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":[],"consensus_categories":[],"category_scores_codex":[0.001005522,0.001196433,0.001365507,0.003111125,0.0006293932,0.002149218,0.001881358,0.001418406,0.108436],"category_scores_gemma":[0.01058844,0.0005069507,0.001748328,0.004596941,0.0003317103,0.00176993,0.001844837,0.001513739,0.08275545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105427,"about_ca_system_score_gemma":0.002419165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01151957,"about_ca_topic_score_gemma":0.02212321,"domain_scores_codex":[0.9987178,0.0002393449,0.0003347297,0.0003732353,0.0002209312,0.0001138739],"domain_scores_gemma":[0.9955841,0.001466685,0.0008365109,0.0009154049,0.0009626615,0.0002348066],"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":[0.0002875359,0.0000249249,0.003415803,0.005168563,0.0001041861,0.00006584785,0.00004186933,0.0002905327,0.0001709916,0.001027807,0.9692966,0.02010537],"study_design_scores_gemma":[0.0001702427,0.00002928993,0.009330478,0.00239304,0.00007799431,0.0002747479,0.00006963019,0.000195104,0.0002165071,0.001453267,0.9857554,0.00003424447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002288112,0.0005912596,0.0001542697,0.000115547,0.00005208215,0.00003123089,0.9964728,0.0002257589,0.002128191],"genre_scores_gemma":[0.001118592,0.0007327787,0.0006962307,0.0003066468,0.00003164079,0.000184205,0.9951456,0.00008255288,0.001701685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.108436,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770213058225977,"score_gpt":0.4670689918743385,"score_spread":0.4393668612920787,"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."}}