{"id":"W4234121396","doi":"10.1515/iupac.79.1674","title":"Natriuretic","year":2016,"lang":"ru","type":"dataset","venue":"IUPAC Standards Online","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; 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":[0.0007724697,0.001105116,0.001449206,0.001746217,0.0003816177,0.001570456,0.001414974,0.001032116,0.06605938],"category_scores_gemma":[0.007843816,0.0003373464,0.001503478,0.002636715,0.0001770639,0.001153246,0.0009129559,0.001476155,0.04645914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006365193,"about_ca_system_score_gemma":0.001309348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005170929,"about_ca_topic_score_gemma":0.01117298,"domain_scores_codex":[0.9989755,0.0001511139,0.0002710868,0.0003307863,0.0001836976,0.00008776951],"domain_scores_gemma":[0.9972596,0.0008719384,0.0006653895,0.0004917613,0.0005322419,0.0001790816],"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":[0.00181409,0.00008537533,0.01664791,0.005699728,0.0004322085,0.0001484979,0.00003544737,0.0005506401,0.0004237531,0.0009726585,0.9281603,0.04502939],"study_design_scores_gemma":[0.001723853,0.0001659687,0.05207848,0.002330582,0.0005664097,0.0009715717,0.00008097022,0.000834861,0.0007397152,0.003517671,0.9368959,0.00009397019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009366077,0.0009733343,0.0001953782,0.0001514227,0.00007635557,0.00004694074,0.9942997,0.0002355571,0.003084715],"genre_scores_gemma":[0.004375085,0.000887052,0.0008201278,0.0004677286,0.00009318457,0.0002492818,0.9906307,0.00007481138,0.002402046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9339406,"threshold_uncertainty_score":0.2209907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247287358834283,"score_gpt":0.397385868956773,"score_spread":0.3849129953684302,"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."}}