{"id":"W4252894630","doi":"10.1515/iupac.79.1927","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; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics","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":[0.001498494,0.001398999,0.001640499,0.002915284,0.000713004,0.003340374,0.002970558,0.001581408,0.168497],"category_scores_gemma":[0.01267776,0.0005115165,0.001955277,0.005202868,0.0002871868,0.002248749,0.001972442,0.001451266,0.1948482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460268,"about_ca_system_score_gemma":0.003156447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01197896,"about_ca_topic_score_gemma":0.02146148,"domain_scores_codex":[0.9980476,0.0003327716,0.0003675722,0.0006942415,0.0003492439,0.0002087229],"domain_scores_gemma":[0.9956595,0.001035734,0.0005739692,0.001113795,0.001303318,0.0003135529],"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":[0.0002266652,0.00002067008,0.001975723,0.001635752,0.0000823883,0.00002757129,0.00001984791,0.000182657,0.00008081512,0.0008629392,0.9834568,0.01142832],"study_design_scores_gemma":[0.000249205,0.00002088983,0.003348299,0.0008571706,0.00007308539,0.00009888547,0.00004581219,0.0002106527,0.0001844661,0.00180563,0.9930812,0.00002474188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001296914,0.0002193146,0.0001215968,0.0001279966,0.00004519135,0.00002836511,0.9962958,0.000407921,0.002624076],"genre_scores_gemma":[0.0005840234,0.0002470967,0.0004621206,0.0003067719,0.000023247,0.000117275,0.9962877,0.0001101927,0.001861528],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.831503,"threshold_uncertainty_score":0,"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."}}