{"id":"W3041574446","doi":"10.1016/j.talanta.2020.121339","title":"Recent advances in non-targeted screening analysis using liquid chromatography - high resolution mass spectrometry to explore new biomarkers for human exposure","year":2020,"lang":"en","type":"review","venue":"Talanta","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"Chugoku Marine Paints","keywords":"Chemistry; Chromatography; Mass spectrometry; Resolution (logic); Liquid chromatography–mass spectrometry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002757396,0.0005940553,0.001861753,0.001187891,0.0001566651,0.00004788635,0.0004202905,0.0003383088,0.00002988889],"category_scores_gemma":[0.00009566242,0.0005572062,0.0008577177,0.002905387,0.00004456038,0.00001068064,0.0002367074,0.0001958,0.000002278945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008129556,"about_ca_system_score_gemma":0.0001078348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000466954,"about_ca_topic_score_gemma":0.0001270053,"domain_scores_codex":[0.9972571,0.0001093516,0.0007782426,0.001055938,0.0002205655,0.0005787822],"domain_scores_gemma":[0.998717,0.00002622731,0.0004444704,0.0005247588,0.00006519454,0.0002223804],"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":[0.001605944,0.0003305235,0.0007884167,0.009782812,0.02598969,0.0001056578,0.0003177926,0.0003429328,0.2610107,0.0002151935,0.005255424,0.6942549],"study_design_scores_gemma":[0.000574389,0.0009462598,0.00007092579,0.0008043445,0.002563421,0.000007177042,0.000124404,0.0000211594,0.002095847,0.00002889473,0.9919747,0.0007884562],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005424269,0.9797592,0.01315143,0.00004794183,0.0001917011,0.001077384,0.0002469641,0.00002433271,0.00007681658],"genre_scores_gemma":[0.0009806242,0.9831878,0.01274942,0.00004274911,0.0005180896,0.0001194259,0.002286633,0.00008063037,0.00003461689],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9867193,"threshold_uncertainty_score":0.999688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04188971069780036,"score_gpt":0.325818724846042,"score_spread":0.2839290141482417,"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."}}