{"id":"W4237490140","doi":"10.1515/iupac.88.0909","title":"Hydronephrosis","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Hematological disorders and diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Linguistics; 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":[0.001040903,0.0008313733,0.001438718,0.003582171,0.0004994149,0.001743104,0.001269199,0.0009649667,0.07576465],"category_scores_gemma":[0.01190602,0.0003515219,0.001425016,0.004848009,0.0003409859,0.001317791,0.001462006,0.001328066,0.02474194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008800359,"about_ca_system_score_gemma":0.002257973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007923415,"about_ca_topic_score_gemma":0.01554224,"domain_scores_codex":[0.9986544,0.0002107506,0.0004869046,0.0003240896,0.0002184211,0.0001053466],"domain_scores_gemma":[0.9938362,0.002037323,0.001595487,0.001091103,0.001147499,0.0002922796],"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":[0.0003951658,0.00002394383,0.007750361,0.009017318,0.0001933105,0.000148934,0.00004751276,0.0002662739,0.0001842168,0.001220292,0.9559359,0.02481672],"study_design_scores_gemma":[0.0006279526,0.00005717172,0.03586221,0.01014563,0.0002147594,0.001155638,0.0001518508,0.0003499797,0.0004377411,0.003418501,0.947501,0.0000776775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004391313,0.0008000673,0.0001805947,0.0001259675,0.0000527277,0.000084242,0.9959152,0.0001581161,0.002244003],"genre_scores_gemma":[0.002554409,0.001239736,0.0008799924,0.0003214518,0.00004763,0.000419885,0.9931056,0.00006677028,0.001364576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07576465,"threshold_uncertainty_score":0.253458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266548031795461,"score_gpt":0.458671262122541,"score_spread":0.4320164589429949,"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."}}