{"id":"W580927482","doi":"10.1039/9781849730921","title":"Mass Spectrometry and Nutrition Research","year":2010,"lang":"en","type":"book","venue":"","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Data science; Computer science; Medicine; Biotechnology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002578749,0.0002046374,0.0001733636,0.0002000419,0.0001202986,0.00006470624,0.0001829558,0.0007343043,0.0002912162],"category_scores_gemma":[0.00006684171,0.0002134212,0.00009399951,0.00005006581,0.0002856702,0.000001596938,0.0001236458,0.0004276598,0.00004773645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000249102,"about_ca_system_score_gemma":0.0002725938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004627826,"about_ca_topic_score_gemma":0.00003143719,"domain_scores_codex":[0.9986233,0.00005345494,0.0001755945,0.0005591467,0.0002789475,0.0003095714],"domain_scores_gemma":[0.9989632,0.00001999014,0.00004382042,0.0004921542,0.0002572967,0.0002235624],"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":[0.0001706393,0.0001702961,0.00008798028,0.000362876,0.00005742548,0.00001401911,0.000005821931,3.227239e-8,0.3953785,0.003071166,0.5999994,0.0006818838],"study_design_scores_gemma":[0.0008256034,0.0004808471,0.0000927989,0.00005392188,0.00003116239,0.00001819272,0.00002681605,0.000001350731,0.04323732,0.04618523,0.9086995,0.00034732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01130594,0.0171253,0.0004866463,0.0003695997,0.0003979946,0.0008089297,0.0002626335,0.00003473961,0.9692082],"genre_scores_gemma":[0.007232599,0.01131492,0.004561902,0.0002195709,0.00363675,0.00006471499,0.001999036,0.00007753271,0.970893],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3521412,"threshold_uncertainty_score":0.8703063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814600997094351,"score_gpt":0.3004687658621729,"score_spread":0.2823227558912293,"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."}}