{"id":"W4365142199","doi":"10.1515/iupac.94.0603","title":"Isotopic Scrambling","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Reactions and Isotopes","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Scrambling; Meaning (existential); Abandonment (legal); Field (mathematics); Computer science; Epistemology; Linguistics; Mathematics; Philosophy; Political science; Algorithm","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":[0.002012701,0.002253957,0.001616972,0.005352039,0.001816874,0.00313372,0.003208732,0.002145262,0.1205493],"category_scores_gemma":[0.01167806,0.0007403409,0.002038042,0.007023762,0.0007698129,0.002358367,0.002852114,0.002687178,0.1666894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618361,"about_ca_system_score_gemma":0.00312919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0220978,"about_ca_topic_score_gemma":0.04882641,"domain_scores_codex":[0.9973712,0.0005333069,0.0004483359,0.0008526981,0.0005292549,0.0002651994],"domain_scores_gemma":[0.9953386,0.001244237,0.0003226588,0.001696788,0.001232376,0.0001654263],"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":[0.00009222602,0.0000203264,0.0005564943,0.0009387127,0.00002440476,0.0000400653,0.00003093625,0.000213764,0.0002900934,0.00117479,0.9886317,0.007986506],"study_design_scores_gemma":[0.0001001186,0.00001358523,0.001823734,0.0003909511,0.00002078271,0.000067367,0.00006346319,0.0002702746,0.0005286292,0.002572468,0.9941162,0.00003242406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002636639,0.0003519307,0.0005086916,0.0001043165,0.0001462249,0.00004657562,0.9947882,0.0009724307,0.002817957],"genre_scores_gemma":[0.0004969547,0.0001502583,0.001108814,0.0001156164,0.00001933269,0.0001875794,0.9962698,0.0002325635,0.001419145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1205493,"threshold_uncertainty_score":0.4032777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1182866807500301,"score_gpt":0.56536912532126,"score_spread":0.44708244457123,"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."}}