{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007587943,0.0004713918,0.0006416061,0.0002789073,0.0002788736,0.00005911469,0.0005339166,0.001159681,0.006067698],"category_scores_gemma":[0.000964212,0.0004375892,0.0002697388,0.0004779043,0.000212048,0.00007542934,0.0002673742,0.002558093,0.0001944681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003685938,"about_ca_system_score_gemma":0.0005024712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003153046,"about_ca_topic_score_gemma":0.0005526638,"domain_scores_codex":[0.997467,0.0001549449,0.0005778755,0.0005773176,0.000569921,0.0006529199],"domain_scores_gemma":[0.9980792,0.0004891411,0.000230809,0.0005372346,0.0003226697,0.0003409319],"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":[0.0001395485,0.0003452612,0.00001580901,0.0001684943,0.0002449337,0.0001278333,0.00001079644,0.00002048851,0.0002937166,0.00001651775,0.9925053,0.006111305],"study_design_scores_gemma":[0.0009484959,0.0001053179,0.00002442224,0.0001059211,0.0003164906,0.00001763636,0.00003814278,0.00009078265,0.0003791016,0.00021092,0.9973115,0.0004513009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001135822,0.0007624385,0.00001509246,0.001001597,0.003736795,0.0003847105,0.9924719,0.0002581673,0.0002334317],"genre_scores_gemma":[0.00004229882,0.004154179,0.0000273121,0.00141843,0.002021435,0.00005333651,0.9893585,0.00006000976,0.002864544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00587323,"threshold_uncertainty_score":0.9998076,"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."}}