{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003544921,0.0003488331,0.0005885395,0.0003481758,0.00009151989,0.00002799607,0.0003375183,0.0002385403,0.0004782076],"category_scores_gemma":[0.00000747079,0.0003785941,0.0001796974,0.0002863688,0.00007008167,0.00009439855,0.0000517365,0.0001245063,0.00004522213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002246564,"about_ca_system_score_gemma":0.000310955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155511,"about_ca_topic_score_gemma":0.0005569213,"domain_scores_codex":[0.9971765,0.0001639928,0.00113299,0.0005911764,0.000379079,0.0005562396],"domain_scores_gemma":[0.9982262,0.0001011221,0.0003600632,0.0007359762,0.0003263641,0.0002502663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005295826,0.0001210374,0.08927821,0.000299079,0.0003447128,0.000004527191,0.028803,0.00479742,0.7341229,0.00003765433,0.00004895931,0.141613],"study_design_scores_gemma":[0.008229953,0.01584398,0.5170861,0.000769996,0.002509811,0.0001809251,0.05254666,0.1007868,0.2942352,0.0001614904,0.004341772,0.003307281],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560644,0.03937709,0.001467352,0.00006314846,0.0009594113,0.001666873,0.0002647201,0.00003436874,0.0001026661],"genre_scores_gemma":[0.9853044,0.001944144,0.0116473,0.0004887725,0.0001351403,0.00005152803,0.0002074723,0.00008269649,0.0001385394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4398876,"threshold_uncertainty_score":0.9998666,"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."}}