{"id":"W4403431793","doi":"10.1186/s12995-024-00436-3","title":"Metabolomics and proteomics in occupational medicine: a comprehensive systematic review","year":2024,"lang":"en","type":"review","venue":"Journal of Occupational Medicine and Toxicology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade do Porto","keywords":"Medicine; Proteomics; Metabolomics; Public health; Data science; Bioinformatics; Computational biology; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002394022,0.0004293678,0.003225059,0.0004633366,0.00006838942,0.00000961686,0.0002283042,0.0002630354,0.0003610683],"category_scores_gemma":[0.001854617,0.0002648622,0.0001384576,0.0004498777,0.0006714943,0.0001633091,0.0001804106,0.0009533998,0.0000412004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003924073,"about_ca_system_score_gemma":0.0002470564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002725605,"about_ca_topic_score_gemma":0.00002120046,"domain_scores_codex":[0.9955353,0.0007845382,0.002290462,0.0004666611,0.0006491995,0.0002738877],"domain_scores_gemma":[0.9964539,0.001481946,0.001572734,0.0001929117,0.00005717509,0.000241304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009037217,0.000139057,0.0007468049,0.9359779,0.0005577337,0.000459485,0.000641345,0.000006998057,0.00001750503,0.0005966912,0.008736282,0.0520298],"study_design_scores_gemma":[0.001321828,0.001021576,0.004716643,0.710706,0.007659672,0.004789934,0.000196154,0.00008176017,2.605426e-7,0.0008394289,0.2681559,0.0005108374],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000670581,0.9951244,0.0001312091,0.00153652,0.0003077197,0.002047631,0.00001955148,0.000005373347,0.0001570341],"genre_scores_gemma":[0.0001347235,0.9955216,0.0006048675,0.003201358,0.0003038631,0.0001216911,0.00003204058,0.0000292413,0.00005058793],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2594196,"threshold_uncertainty_score":0.9999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111665170868027,"score_gpt":0.4212760189724708,"score_spread":0.3096108481044438,"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."}}