{"id":"W2909433656","doi":"10.1534/g3.118.200516","title":"Using Next-Generation Sequencing Transcriptomics To Determine Markers of Post-traumatic Symptoms: Preliminary Findings from a Post-deployment Cohort of Soldiers","year":2019,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; Hospital for Sick Children; SickKids Foundation; Defence Research and Development Canada","funders":"","keywords":"Software deployment; Cohort; Medicine; Medical emergency; Psychology; Computer science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002212457,0.0002533362,0.0001779023,0.0005274774,0.0009301206,0.0005570586,0.0002436994,0.0002786395,0.001536467],"category_scores_gemma":[0.0003417867,0.0001248769,0.0001823988,0.0004618887,0.0003123805,0.00006745799,0.0002799639,0.0003763344,0.0002720093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006186179,"about_ca_system_score_gemma":0.0007114659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0937129,"about_ca_topic_score_gemma":0.1599261,"domain_scores_codex":[0.9998609,0.0000147056,0.000003806513,0.00003571262,0.00003575887,0.00004909732],"domain_scores_gemma":[0.999849,0.0000207801,0.00002381065,0.00001208211,0.00006171998,0.00003253304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001000404,0.0002745576,0.6670766,0.0001256102,0.0001791264,0.000741713,0.002194745,0.0003137093,0.2986781,0.0001979903,0.002029568,0.02718781],"study_design_scores_gemma":[0.000007931763,0.0001896135,0.9932721,0.00001209086,0.00003794111,0.0002699092,0.001020082,0.0002162629,0.003414946,0.00004825656,0.001502633,0.000008316548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958435,0.0003450947,0.0008447982,0.0001786371,0.00001431516,0.00005265326,0.002049415,0.00001512357,0.0006563696],"genre_scores_gemma":[0.9906549,0.0006419335,0.001963687,0.0003124342,0.00002308433,0.0001230179,0.002518197,0.00001523792,0.003747606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0937129,"threshold_uncertainty_score":0.1863348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06355352093746573,"score_gpt":0.2992165983193414,"score_spread":0.2356630773818757,"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."}}