{"id":"W4221129065","doi":"10.3138/jmvfh-2021-0095","title":"Dress for success: Embedded health sensors in the future soldier","year":2022,"lang":"en","type":"article","venue":"Journal of Military Veteran and Family Health","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces","funders":"","keywords":"Clothing; Military personnel; Vital signs; Unit (ring theory); Aeronautics; Medical emergency; Computer security; Breathing; Computer science; Internet privacy; Applied psychology; Engineering; Medicine; Psychology; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001690968,0.000158167,0.0003865681,0.0001941172,0.0002886701,0.00001100194,0.000243781,0.0000322473,0.00000491518],"category_scores_gemma":[0.00001213519,0.0001244547,0.0001080902,0.0002031037,0.00002362523,0.000157944,0.0000295272,0.0006044722,3.366084e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000270272,"about_ca_system_score_gemma":0.0001395714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001373978,"about_ca_topic_score_gemma":0.00006859094,"domain_scores_codex":[0.998226,0.0002896515,0.0006307117,0.0001304427,0.0003186133,0.0004045546],"domain_scores_gemma":[0.9993241,0.0002019129,0.0001149463,0.0001538918,0.00003569843,0.0001694613],"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":[0.002657981,0.001196129,0.04319425,0.008683004,0.0006941817,0.0009248425,0.2719788,0.111635,0.0157164,0.0006317467,0.2267995,0.3158882],"study_design_scores_gemma":[0.02143936,0.02038418,0.3966594,0.001602953,0.0000954068,0.003111585,0.3552055,0.01108648,0.0002458113,0.004357103,0.1834442,0.002368008],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9292009,0.06593875,0.0003655133,0.00231952,0.001642552,0.0004131943,0.00006603326,0.00001838576,0.00003509828],"genre_scores_gemma":[0.9891521,0.006193963,0.001492772,0.00224058,0.0008587099,0.00002079218,0.000005773463,0.00003035217,0.000004924521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3534652,"threshold_uncertainty_score":0.5075117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004833343039937,"score_gpt":0.2762572345496918,"score_spread":0.2562089011192924,"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."}}