{"id":"W4365142326","doi":"10.1515/iupac.94.0602","title":"Isotopic Perturbation, Method of","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); Computer science; Epistemology; Linguistics; Mathematics; Philosophy; Political science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009199505,0.000334646,0.0006630759,0.0002313337,0.0001176199,0.00001478558,0.0004050372,0.0008637112,0.00620247],"category_scores_gemma":[0.001261142,0.0002982532,0.0002433435,0.0004123997,0.0001672946,0.00005204125,0.000159416,0.001330144,0.00002581352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002030293,"about_ca_system_score_gemma":0.0004602429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002867411,"about_ca_topic_score_gemma":0.0002367082,"domain_scores_codex":[0.9978803,0.0002487533,0.0006359583,0.0004044793,0.0004766892,0.0003537702],"domain_scores_gemma":[0.9976644,0.000847298,0.0003402475,0.0004463126,0.0005168134,0.0001849227],"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":[0.0001501254,0.0003607987,0.0000132839,0.0002570985,0.0002838384,0.00001988102,0.00002514155,0.00002535226,0.0007546713,0.00006320574,0.9891692,0.008877375],"study_design_scores_gemma":[0.000784135,0.0001266403,0.00004470994,0.00007414167,0.0003758755,0.00001300242,0.00004010602,0.0001355461,0.001961088,0.0005584394,0.9956108,0.0002755695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002299053,0.000504863,0.0002524347,0.0007389334,0.001705326,0.0003292746,0.9959255,0.0000850532,0.000228717],"genre_scores_gemma":[0.00001897219,0.002488188,0.0002888509,0.0005838737,0.0007502789,0.00003728276,0.9925821,0.00003673694,0.003213748],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008601806,"threshold_uncertainty_score":0.999947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09194227787480204,"score_gpt":0.5671627102764966,"score_spread":0.4752204324016945,"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."}}