{"id":"W2007646009","doi":"10.4155/bio.11.155","title":"Advances in Metabolite Identification","year":2011,"lang":"en","type":"review","venue":"Bioanalysis","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":276,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology","funders":"Canadian Institutes of Health Research","keywords":"Metabolomics; Metabolite; Identification (biology); Computational biology; Metabolite profiling; Biochemical engineering; Computer science; Chemistry; Biology; Bioinformatics; Biochemistry; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002046811,0.001718264,0.002060262,0.004006216,0.0004511588,0.001859011,0.001628882,0.001768652,0.005540614],"category_scores_gemma":[0.002191288,0.0006053027,0.001208443,0.00345895,0.0007812313,0.004066896,0.001482595,0.002825129,0.006763524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110093,"about_ca_system_score_gemma":0.001407495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168123,"about_ca_topic_score_gemma":0.001214884,"domain_scores_codex":[0.9991369,0.0001327018,0.00007409066,0.0002402897,0.000362638,0.00005341774],"domain_scores_gemma":[0.998655,0.0006283201,0.0001495945,0.0000790723,0.0004273426,0.00006064441],"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":[0.000084094,0.00009791079,0.0004123696,0.01345598,0.0001020531,0.0003992504,0.00007377469,0.0008359546,0.0142719,0.009987763,0.0164205,0.9438584],"study_design_scores_gemma":[0.00001468684,0.0001243801,0.0008534076,0.001422606,0.00009934055,0.002149178,0.00007743928,0.0006377005,0.01290457,0.006434383,0.9752215,0.00006077972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005869914,0.9850866,0.007317127,0.0009786995,0.0006008029,0.00002373569,0.0001075641,0.00008714973,0.005211417],"genre_scores_gemma":[0.003149522,0.9851456,0.007508373,0.000597025,0.0005811009,0.00002673309,0.0001857709,0.00001982119,0.002786054],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005540614,"threshold_uncertainty_score":0.0185352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805667307163814,"score_gpt":0.3280089473840301,"score_spread":0.299952274312392,"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."}}