{"id":"W2170036171","doi":"10.1002/cmdc.200900046","title":"Metabolomics, Metabonomics and Metabolite Profiling. Edited by William J. Griffiths.","year":2009,"lang":"en","type":"article","venue":"ChemMedChem","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Metabolite profiling; Metabolomics; Metabolite; Profiling (computer programming); Computational biology; Chemistry; Biology; Computer science; Chromatography; Biochemistry","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"],"consensus_categories":[],"category_scores_codex":[0.0003408249,0.0004052886,0.0005512974,0.0000848998,0.0001388735,0.00006288402,0.0002750969,0.0002392508,0.000009582601],"category_scores_gemma":[0.0001940249,0.0003732339,0.0001576334,0.0002083736,0.0001677446,0.00001335451,0.0001560453,0.0002003688,0.000007929087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001661859,"about_ca_system_score_gemma":0.00004509182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004332569,"about_ca_topic_score_gemma":0.000001771637,"domain_scores_codex":[0.9981164,0.00003726041,0.0003973915,0.0007421237,0.0001643007,0.0005425632],"domain_scores_gemma":[0.9989623,0.00001703026,0.000173636,0.0005077542,0.0001169216,0.0002223744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006724594,0.00009872611,0.0005414741,0.000009256423,0.0002074035,0.000001134767,0.00002501201,9.439478e-7,0.9715198,0.001967018,0.02181283,0.003749149],"study_design_scores_gemma":[0.0006892257,0.00009485518,0.00117439,0.000001726305,0.0001003827,0.000009744456,0.00003787515,0.00001650513,0.7257578,0.0005553436,0.271233,0.000329125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931126,0.06157909,0.0006657437,0.001381643,0.0004611899,0.0003931863,0.0001689628,0.00006511201,0.00415909],"genre_scores_gemma":[0.9673484,0.01615973,0.01052379,0.002135878,0.0009679069,0.00004262555,0.0006009702,0.00005772281,0.002163008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2494202,"threshold_uncertainty_score":0.999872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006910221263273947,"score_gpt":0.2271818464244602,"score_spread":0.2202716251611862,"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."}}