{"id":"W105731480","doi":"10.1007/978-1-60327-194-3_14","title":"Computational Approaches to Metabolomics","year":2009,"lang":"en","type":"review","venue":"Methods in molecular biology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Genome Alberta; Genome Canada","keywords":"Metabolomics; Computer science; Field (mathematics); Data science; Bioinformatics; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001542143,0.0006681906,0.002148724,0.0005666393,0.00005954184,0.00002728092,0.000681296,0.000801023,0.00001267644],"category_scores_gemma":[0.0005667206,0.0005869403,0.0006200751,0.0006436623,0.0001183746,0.000001494304,0.0005032176,0.0004152234,0.00001815361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005296951,"about_ca_system_score_gemma":0.0002019961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005376324,"about_ca_topic_score_gemma":0.000005422725,"domain_scores_codex":[0.9955099,0.001718085,0.0008542628,0.001207124,0.0001028528,0.0006077981],"domain_scores_gemma":[0.9987108,0.000118137,0.0002799592,0.0007054887,0.00004637751,0.0001392004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001388678,0.00008418802,0.000004351207,0.0003808316,0.000361088,0.000009284289,0.00001009533,0.0001462592,0.002309628,0.01588406,0.0001859467,0.9806104],"study_design_scores_gemma":[0.0001988345,0.00023426,0.000003513128,0.0001462425,0.0002282181,0.00003584056,0.000006087728,0.00001581373,0.0006848478,0.005598641,0.9922403,0.0006074248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004839879,0.5903307,0.408097,0.00005485133,0.0001945145,0.0005061342,0.00003907211,0.0000101169,0.0007627778],"genre_scores_gemma":[7.702525e-7,0.5194959,0.4795191,0.0002568577,0.000106224,0.0001282446,0.0003437125,0.00004173011,0.0001074686],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9920543,"threshold_uncertainty_score":0.9996582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261517613397264,"score_gpt":0.425963507681854,"score_spread":0.2998117463421276,"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."}}