{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002465516,0.0004133048,0.001087606,0.0001251666,0.000190466,0.00007748175,0.0003344648,0.0006553274,0.004293372],"category_scores_gemma":[0.004566921,0.0003137056,0.0002830488,0.00007384359,0.0002538011,0.00004121508,0.0001824146,0.0007034055,0.0000225136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506471,"about_ca_system_score_gemma":0.0007757166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001527046,"about_ca_topic_score_gemma":0.00032655,"domain_scores_codex":[0.9976858,0.0000303483,0.0004184089,0.0004738501,0.0009582547,0.0004333478],"domain_scores_gemma":[0.9975484,0.0001346958,0.0002590118,0.001348242,0.0003582383,0.0003514194],"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":[0.0002139883,0.0007110685,0.0000869436,0.0003741074,0.0001119971,0.0006516234,0.000003019439,2.721044e-7,0.000001696616,0.000008227009,0.9964551,0.001381931],"study_design_scores_gemma":[0.001459514,0.0006613534,0.0003910679,0.0008508578,0.0005087936,0.00007113548,0.00001162478,0.000007875923,0.000007931926,0.0001919715,0.9955049,0.0003329753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003173209,0.002219266,0.00003802712,0.001859714,0.0004047198,0.0004120494,0.9942917,0.00007002497,0.0003872242],"genre_scores_gemma":[0.0001195801,0.00435037,0.0001143737,0.001680198,0.0005236368,0.00001808524,0.992677,0.0000332773,0.0004834471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004320369,"threshold_uncertainty_score":0.9999315,"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."}}