{"id":"W1873478543","doi":"10.4212/cjhp.v61i1.3","title":"Metabolomics: CSI Comes to the Bedside","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Metabolomics; Data science; Computer science; Medicine; Computational biology; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005699805,0.00129647,0.002845711,0.003723023,0.002535338,0.009543706,0.001729745,0.004410184,0.02475144],"category_scores_gemma":[0.0173974,0.001177598,0.001007516,0.003227283,0.00290135,0.007328482,0.00696911,0.01062607,0.0165837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003981618,"about_ca_system_score_gemma":0.01179711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296101,"about_ca_topic_score_gemma":0.04947129,"domain_scores_codex":[0.9962503,0.0008173392,0.0002370422,0.0003889988,0.001932667,0.0003736931],"domain_scores_gemma":[0.9841661,0.003151586,0.0006062039,0.001598112,0.005999133,0.004478876],"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":[0.0007133529,0.0002315634,0.01546831,0.0005167095,0.0002141048,0.001927823,0.000531356,0.0003090277,0.008670735,0.0114374,0.4814938,0.4784858],"study_design_scores_gemma":[0.0002168708,0.000455218,0.04002673,0.001324982,0.0002804037,0.007338881,0.002608579,0.002581238,0.01060533,0.1343587,0.799772,0.0004311618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01452797,0.0730335,0.08065318,0.6931121,0.02103285,0.0002664754,0.002315728,0.01373661,0.1013215],"genre_scores_gemma":[0.235818,0.111806,0.2043639,0.2681777,0.07151471,0.0002562246,0.0022153,0.005557142,0.100291],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02475144,"threshold_uncertainty_score":0.08280188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776175262992756,"score_gpt":0.2556797569475121,"score_spread":0.2379180043175845,"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."}}