{"id":"W4239614271","doi":"10.1515/iupac.83.0400","title":"Isotopically Labeled","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Field (mathematics); Multidisciplinary approach; Process (computing); Computer science; Data science; Component (thermodynamics); Management science; Engineering; Sociology; Biology; Linguistics; Mathematics; Physics","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":[0.001606129,0.00173179,0.00157186,0.003324873,0.001151572,0.002810807,0.003351615,0.00197767,0.07054543],"category_scores_gemma":[0.007171145,0.0007217502,0.001926978,0.006681762,0.0007844779,0.002449695,0.002366474,0.00266675,0.09640289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698215,"about_ca_system_score_gemma":0.002499105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388703,"about_ca_topic_score_gemma":0.03428413,"domain_scores_codex":[0.9980246,0.0003026573,0.0003126696,0.0006484308,0.0004923872,0.0002192194],"domain_scores_gemma":[0.9969733,0.000683868,0.0004222615,0.001061989,0.0006611146,0.0001974724],"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":[0.0005493,0.00007795138,0.002813088,0.002036341,0.00007802278,0.0001004056,0.00005332242,0.0006381508,0.001100614,0.002756434,0.9779384,0.01185807],"study_design_scores_gemma":[0.0001964976,0.00003377463,0.005070223,0.0004205905,0.00004929322,0.0001859883,0.00006999734,0.0003751753,0.001408471,0.003267489,0.9888811,0.00004137546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007136316,0.0004628858,0.0007226223,0.0001333254,0.0001003568,0.00004684435,0.9922163,0.001083573,0.004520423],"genre_scores_gemma":[0.0008923931,0.0002433672,0.001202126,0.0001465803,0.00001108434,0.0001059059,0.9956245,0.0001560507,0.001618021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07054543,"threshold_uncertainty_score":0.235998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00689883767067883,"score_gpt":0.3633541037726289,"score_spread":0.3564552661019501,"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."}}