{"id":"W2040856838","doi":"10.7205/milmed-d-10-00393","title":"The Effectiveness of Technology-Enhanced Relaxation Techniques for Military Medical Warriors","year":2011,"lang":"en","type":"article","venue":"Military Medicine","topic":"Posttraumatic Stress Disorder Research","field":"Psychology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"U.S. Army Medical Department; U.S. Army Aeromedical Research Laboratory; Medical Research and Materiel Command; Telemedicine and Advanced Technology Research Center; U.S. Department of Defense","keywords":"Battlefield; Relaxation (psychology); Military medicine; Anxiety; Military personnel; Navy; Medical education; Sample (material); Applied psychology; Psychology; Medicine; Medical emergency; Social psychology; Psychiatry; Political science; Physics; History; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004196437,0.0001990662,0.0004344401,0.0002956984,0.000162632,5.048551e-7,0.0007480105,0.0003259427,0.0007886332],"category_scores_gemma":[0.00440597,0.0001254515,0.00009202661,0.0004801518,0.001602648,0.00005409967,0.00008883426,0.0003668086,0.00002077937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005239278,"about_ca_system_score_gemma":0.00007786298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002162442,"about_ca_topic_score_gemma":0.0003023121,"domain_scores_codex":[0.9973906,0.0005721243,0.000616663,0.0004016647,0.0005527331,0.0004662166],"domain_scores_gemma":[0.9962838,0.002416507,0.00007771851,0.0008477308,0.0002527043,0.000121568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01183765,0.001734688,0.01961571,0.002016851,0.001214766,0.00007295968,0.0218234,8.805613e-7,0.01483017,0.05727717,0.01488814,0.8546876],"study_design_scores_gemma":[0.01273808,0.01364531,0.5496612,0.00488504,0.0003448791,0.0001325069,0.03292202,0.0003163609,0.1268622,0.2488639,0.008640456,0.0009881257],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9083543,0.038401,0.0116758,0.002889601,0.001043547,0.003641069,0.00003205071,0.000397616,0.03356504],"genre_scores_gemma":[0.9969178,0.0005034234,0.0009537602,0.00006428659,0.00008447863,0.001229193,0.00002788913,0.0000325929,0.0001865392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8536995,"threshold_uncertainty_score":0.8634981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.046985719333844,"score_gpt":0.3749318005324721,"score_spread":0.3279460811986281,"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."}}