{"id":"W3110426529","doi":"10.1016/j.jpba.2020.113818","title":"Comparison of two arylsulfatases for targeted mass spectrometric analysis of microbiota-derived metabolites","year":2020,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Health Agency of Canada; Vetenskapsrådet; Uppsala Universitet; Science for Life Laboratory; Carl Tryggers Stiftelse för Vetenskaplig Forskning; Swedish Cancer Foundation","keywords":"Sulfation; Chemistry; Arylsulfatase; Metabolite; Metabolomics; Enzyme; Biochemistry; Substrate (aquarium); Metabolic pathway; Chromatography; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004761287,0.0001891208,0.001505823,0.001022116,0.00004514338,0.00001341473,0.0002458069,0.00009351076,0.0001625326],"category_scores_gemma":[0.0004919472,0.0001336872,0.001064815,0.003928207,0.0003173202,0.000006901133,0.0001027471,0.0001453687,2.285312e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007125673,"about_ca_system_score_gemma":0.00004270865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006804863,"about_ca_topic_score_gemma":0.000002155936,"domain_scores_codex":[0.9979903,0.00009523581,0.00106498,0.0002721828,0.0003361352,0.0002412257],"domain_scores_gemma":[0.99836,0.0001521528,0.0006913443,0.0001213277,0.0003347696,0.0003404409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003278314,0.0003176189,0.02233441,0.00007145422,0.02629191,0.000002238615,0.0000404634,0.00007181097,0.9489378,0.00009719766,0.0003785616,0.001128701],"study_design_scores_gemma":[0.00176174,0.0008769381,0.01415985,0.000005396866,0.03698928,0.000002458868,0.000164429,0.006714264,0.9296119,0.00006019528,0.009460093,0.0001934379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421115,0.01709627,0.03894339,0.001171408,0.00005713198,0.00009097192,0.0005145038,0.000002528402,0.00001233302],"genre_scores_gemma":[0.9875459,0.002367806,0.009493736,0.00020278,0.000185165,0.000001691413,0.0001858497,0.000007533411,0.000009524942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04543445,"threshold_uncertainty_score":0.5451607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04223087694647619,"score_gpt":0.3751937392104748,"score_spread":0.3329628622639986,"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."}}