{"id":"W1551732699","doi":"10.1002/0471250953.bi1410s34","title":"Metabolomic Data Processing, Analysis, and Interpretation Using MetaboAnalyst","year":2011,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":292,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Innovates","keywords":"Metabolomics; Computer science; Univariate; Visualization; Normalization (sociology); Data mining; Multivariate statistics; Bioinformatics; Machine learning; Biology","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":[0.004252987,0.002012401,0.002120434,0.004773931,0.0007722012,0.002953657,0.001877389,0.0006978532,0.03582058],"category_scores_gemma":[0.007174011,0.001011949,0.001426973,0.004182159,0.0005666108,0.001801746,0.001739077,0.001852262,0.01235009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005795479,"about_ca_system_score_gemma":0.002122903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001886157,"about_ca_topic_score_gemma":0.002733262,"domain_scores_codex":[0.9986258,0.0002751842,0.00026134,0.0003705111,0.0003893363,0.00007803775],"domain_scores_gemma":[0.9965084,0.00125014,0.0004422693,0.0005507977,0.001104646,0.0001437473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005684966,0.0004478541,0.01589264,0.009289343,0.001683503,0.002172144,0.00199261,0.01012657,0.1972614,0.01455871,0.3049713,0.435919],"study_design_scores_gemma":[0.0005223905,0.0007184593,0.02815807,0.0007051206,0.0006062093,0.002201016,0.0005191687,0.1163554,0.2850178,0.01897243,0.5456787,0.0005451733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01163576,0.001047502,0.6944027,0.0004042411,0.0003729661,0.00132125,0.06385379,0.2204099,0.006551994],"genre_scores_gemma":[0.02835169,0.001033542,0.8908036,0.000461503,0.0001449541,0.003757077,0.04832486,0.02035685,0.006766071],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03582058,"threshold_uncertainty_score":0.1198317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.114594697686138,"score_gpt":0.3747744164849803,"score_spread":0.2601797187988423,"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."}}