{"id":"W2015555349","doi":"10.5936/csbj.201301003","title":"COMPUTATIONAL TOOLS FOR THE SECONDARY ANALYSIS OF METABOLOMICS EXPERIMENTS","year":2013,"lang":"en","type":"review","venue":"Computational and Structural Biotechnology Journal","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metabolomics; Interconnectivity; Computer science; Data science; Variety (cybernetics); Software; Systems biology; Computational biology; Bioinformatics; Biology; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004720329,0.00234817,0.003153736,0.003816803,0.0005715956,0.002666065,0.003307197,0.001211987,0.01293067],"category_scores_gemma":[0.009481453,0.001075569,0.003119856,0.003570458,0.0008430319,0.001923349,0.002106186,0.002518812,0.006486007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008985749,"about_ca_system_score_gemma":0.001862332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001415422,"about_ca_topic_score_gemma":0.001300021,"domain_scores_codex":[0.9985127,0.0005029402,0.0001846336,0.0002314312,0.0005093756,0.00005898223],"domain_scores_gemma":[0.9928486,0.005207875,0.0003695342,0.0005510788,0.0008816835,0.0001412],"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":[0.0006138941,0.0002736782,0.004003142,0.01549897,0.002217083,0.0009993826,0.0003769954,0.1146331,0.01767658,0.1203468,0.08113662,0.6422237],"study_design_scores_gemma":[0.0003708538,0.0001627746,0.003478944,0.001706109,0.0008117887,0.001036595,0.0002082903,0.3322625,0.01900389,0.2182766,0.4223835,0.0002981292],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.002608197,0.0152046,0.9536682,0.0008025159,0.0004373406,0.0004158648,0.006328026,0.01403441,0.006500763],"genre_scores_gemma":[0.02669146,0.02701101,0.923677,0.0005598203,0.0003942521,0.002446717,0.01351717,0.002730963,0.002971573],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01293067,"threshold_uncertainty_score":0.04325736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630391478084315,"score_gpt":0.3272085800728534,"score_spread":0.2909046652920102,"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."}}