{"id":"W4236542858","doi":"10.1515/iupac.76.0366","title":"Renal","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pediatric Urology and Nephrology Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Hazard; Relation (database); Toxicology; Computer science; Medicine; Chemistry; Pharmacology; Data mining; Biology; 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":[0.000401363,0.0003985993,0.0008912802,0.0002595762,0.0001332447,0.000005402859,0.0001927887,0.0007964201,0.003879466],"category_scores_gemma":[0.0007413661,0.0002622528,0.0002131995,0.0001390584,0.0004473658,0.00003048983,0.0001790351,0.0008111076,0.00001197736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001683957,"about_ca_system_score_gemma":0.0009603885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001890555,"about_ca_topic_score_gemma":0.0001937316,"domain_scores_codex":[0.9979428,0.00007132709,0.0003938725,0.0005058435,0.0006008109,0.0004853592],"domain_scores_gemma":[0.9984203,0.0001644838,0.0001947528,0.0006865967,0.0003530386,0.0001808433],"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":[0.001211741,0.0002254757,0.0001108477,0.00005109837,0.0009289768,0.0006688088,0.00000452828,2.431779e-8,0.000008927057,0.000002508656,0.9956063,0.001180746],"study_design_scores_gemma":[0.00227415,0.0009021389,0.0007612261,0.00006295796,0.00140642,0.0002365354,0.000003459284,2.009053e-7,0.000006620011,0.00009583054,0.9940032,0.0002472871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003710975,0.004489855,0.00002189447,0.005990654,0.0006807026,0.0002513278,0.9879338,0.00008325888,0.0001773798],"genre_scores_gemma":[0.00001212622,0.006819758,0.00003153701,0.003618802,0.003222807,0.00001882697,0.9849678,0.00002502229,0.001283375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003867489,"threshold_uncertainty_score":0.999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548487059506025,"score_gpt":0.4015215630936572,"score_spread":0.3860366924985969,"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."}}