{"id":"W4365149491","doi":"10.1515/iupac.94.0592","title":"Isotope Effect, Heavy-Atom","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; Abandonment (legal); Meaning (existential); Field (mathematics); Chemistry; Computer science; Epistemology; Linguistics; Mathematics; Philosophy; Political science; Pure mathematics","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":["research_integrity"],"category_scores_codex":[0.001243003,0.0006968264,0.001003699,0.0002893907,0.0003272298,0.00006790101,0.0006686943,0.001451733,0.006445008],"category_scores_gemma":[0.0008424462,0.0006049586,0.0003983177,0.0005653415,0.0002994945,0.0000875039,0.0003477769,0.003140519,0.0003588919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004829276,"about_ca_system_score_gemma":0.0005245382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003651229,"about_ca_topic_score_gemma":0.0005876884,"domain_scores_codex":[0.9966432,0.0003791605,0.0006729615,0.0007577396,0.0007140281,0.0008329505],"domain_scores_gemma":[0.9970699,0.0011412,0.0002720461,0.0007194471,0.0003037508,0.0004936582],"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":[0.0008133884,0.0004596319,0.00003287964,0.0003247103,0.0004052346,0.0002301329,0.00001042619,0.00001146106,0.0003720064,0.00001447972,0.9904476,0.006878071],"study_design_scores_gemma":[0.001826807,0.0004181786,0.00002629963,0.0001350795,0.0005480857,0.00003761072,0.00001486825,0.00004296219,0.002192341,0.00008584851,0.9940653,0.0006066334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002762908,0.001002671,0.00001131871,0.001017435,0.00422661,0.0007477232,0.9896615,0.0003267741,0.0002430759],"genre_scores_gemma":[0.00005856135,0.003578207,0.00001686033,0.001416344,0.00192013,0.0001260498,0.990483,0.00009109487,0.002309763],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006271438,"threshold_uncertainty_score":0.9998446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06003988037916026,"score_gpt":0.527251872339112,"score_spread":0.4672119919599517,"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."}}