{"id":"W2969434662","doi":"10.1096/fasebj.30.1_supplement.921.4","title":"Stress and Inflammatory Markers: The Impact on Military Physical Performance","year":2016,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Exercise and Physiological Responses","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; University of Ottawa","funders":"","keywords":"Stress (linguistics); 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":[],"consensus_categories":[],"category_scores_codex":[0.0003113626,0.0001017303,0.0001386693,0.00002099385,0.0001948533,0.00001035522,0.0001137929,0.00002717665,0.0001243512],"category_scores_gemma":[0.0001125228,0.00002700789,0.0001015553,0.000038265,0.0002078048,0.00006551258,0.00003212073,0.0002667459,0.00004391481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002745533,"about_ca_system_score_gemma":0.00005316569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004409329,"about_ca_topic_score_gemma":3.558967e-7,"domain_scores_codex":[0.9993252,0.0001361425,0.0001008421,0.00007644101,0.000182809,0.0001786292],"domain_scores_gemma":[0.9989823,0.0006401645,0.00003807115,0.0001893758,0.00003124082,0.0001189231],"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":[0.03057319,0.0004359033,0.1083826,0.0000726309,0.0004049343,0.0002037539,0.00165011,0.0001071548,0.5756741,0.0001489018,0.008737953,0.2736087],"study_design_scores_gemma":[0.0007240319,0.001196938,0.9665341,0.0004321848,0.00004224291,0.0001982633,0.0001683167,0.0001913866,0.02969244,0.0006018417,0.0001499869,0.00006829896],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975661,0.0003451555,0.000002683005,0.001347497,0.00003801316,0.00009640105,0.000007933139,0.000009065341,0.0005871424],"genre_scores_gemma":[0.9977019,0.001136451,0.000003751481,0.0003139597,0.00048884,0.000002739132,4.237425e-7,0.000006382072,0.000345592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8581514,"threshold_uncertainty_score":0.1498673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538884855749699,"score_gpt":0.2812520839381065,"score_spread":0.2658632353806095,"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."}}