{"id":"W4413899393","doi":"10.20944/preprints202508.2194.v1","title":"Salivary Metabolomic Signatures as Predictive Markers of Sex-Specific Mental Health Risk in Syrian Refugees","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Lethbridge","keywords":"Refugee; Metabolomics; Syrian refugees; Mental health; Medicine; Psychology; Biology; Psychiatry; Bioinformatics; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000267016,0.0004297303,0.0002828276,0.000621982,0.0002378531,0.0006449368,0.00008372981,0.0002919384,0.001164898],"category_scores_gemma":[0.0006146088,0.0001409879,0.000235568,0.0004605601,0.0002092114,0.0001573726,0.0003920642,0.0002618708,0.0001732046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001212127,"about_ca_system_score_gemma":0.0001516093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847569,"about_ca_topic_score_gemma":0.003010262,"domain_scores_codex":[0.999915,0.00002964132,0.000006627005,0.00001813744,0.00001087529,0.00001965358],"domain_scores_gemma":[0.9998811,0.0000229979,0.00004878406,0.0000113835,0.0000164278,0.00001920593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001455145,0.0001319619,0.9313072,0.0001327147,0.0002015185,0.0004189165,0.001253096,0.000175187,0.03795676,0.00007492031,0.0003814808,0.02651114],"study_design_scores_gemma":[0.000005606869,0.0001365223,0.9974935,0.00001553285,0.00003442517,0.0001797126,0.0009330837,0.0001920728,0.000761864,0.00004478116,0.0001964875,0.000006462262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990636,0.0003270162,0.0001114497,0.00005286751,0.000006110225,0.000007423173,0.0002020197,0.000004224485,0.000225452],"genre_scores_gemma":[0.9988858,0.0003429057,0.0003033518,0.000039357,0.000009467984,0.00001346757,0.0001838957,0.000002282778,0.0002194232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001847569,"threshold_uncertainty_score":0.003897011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04725617222928093,"score_gpt":0.3809961519935872,"score_spread":0.3337399797643062,"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."}}