{"id":"W4400026810","doi":"10.1002/ansa.202400007","title":"Challenges and recent advances in quantitative mass spectrometry‐based metabolomics","year":2024,"lang":"en","type":"article","venue":"Analytical Science Advances","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Metabolomics; Metabolite profiling; Computational biology; Computer science; Biochemical engineering; Chemistry; Chromatography; Biology","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":[0.01968926,0.00156989,0.002061454,0.003169855,0.0007203416,0.003828146,0.003177778,0.003275728,0.003743786],"category_scores_gemma":[0.01137279,0.0009564146,0.001387984,0.003372958,0.002825274,0.006858934,0.002605107,0.004851023,0.002482528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001897521,"about_ca_system_score_gemma":0.002324041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001400598,"about_ca_topic_score_gemma":0.001335794,"domain_scores_codex":[0.9950809,0.001458607,0.0003549916,0.0009230183,0.001978061,0.000204307],"domain_scores_gemma":[0.9830763,0.01001625,0.001022692,0.0007903086,0.00462464,0.0004697136],"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":[0.0004357521,0.0001895186,0.002056654,0.01570224,0.0003563125,0.0005451383,0.0005456966,0.00418536,0.06038633,0.06872162,0.03349288,0.8133825],"study_design_scores_gemma":[0.00004121201,0.000498708,0.002708378,0.002905798,0.0002652316,0.002747351,0.000690872,0.01106054,0.03652221,0.05136216,0.8908753,0.000322368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003049463,0.9070309,0.06414682,0.01660659,0.001695086,0.000064378,0.0002265762,0.0003223997,0.006857782],"genre_scores_gemma":[0.02448687,0.8782408,0.08259696,0.005740614,0.004680884,0.0001481096,0.0005003231,0.0001622752,0.003443206],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01968926,"threshold_uncertainty_score":0.104128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02806757338401677,"score_gpt":0.3386024289024024,"score_spread":0.3105348555183857,"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."}}