{"id":"W1919639395","doi":"10.7205/milmed-d-14-00113","title":"A NATO Guide for Assessing Deployability for Military Personnel With Chronic Medical Conditions: Medical Fitness for Expeditionary Missions, Task Group 174, Human Factors, and Medicine Panel","year":2014,"lang":"en","type":"article","venue":"Military Medicine","topic":"Fibromyalgia and Chronic Fatigue Syndrome Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces","funders":"","keywords":"Software deployment; Military medicine; North Atlantic Treaty; Military personnel; Medicine; Military deployment; Exacerbation; Environmental health; Computer science; Political science; Law; Immunology","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":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.004635796,0.0007569321,0.001769013,0.0004643191,0.001348648,0.000009468938,0.0004950762,0.0007067808,0.00188864],"category_scores_gemma":[0.01181206,0.0004898964,0.0002876083,0.0003472736,0.003115451,0.0003016084,0.0001249319,0.0007801358,0.000002006528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000525451,"about_ca_system_score_gemma":0.001301916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001633136,"about_ca_topic_score_gemma":0.0004818673,"domain_scores_codex":[0.9930972,0.0003449679,0.001460743,0.001447163,0.002406916,0.001243039],"domain_scores_gemma":[0.9900662,0.006257496,0.0001527913,0.0009074602,0.00067948,0.001936558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.005330852,0.003383304,0.03360949,0.09405603,0.002519182,0.0004355884,0.01006174,0.0000166072,0.02079315,0.005534294,0.8114337,0.01282607],"study_design_scores_gemma":[0.2261881,0.1037042,0.1995428,0.09735345,0.005826158,0.006249718,0.05292723,0.1242927,0.0009259643,0.02868392,0.148943,0.005362756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8465214,0.03907261,0.05289852,0.05128668,0.0008861817,0.00812656,0.0005506219,0.0004394665,0.0002179684],"genre_scores_gemma":[0.9777118,0.0008936329,0.005104035,0.0008773559,0.002816735,0.002557756,0.009020489,0.0002093766,0.0008088457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6624907,"threshold_uncertainty_score":0.9999515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.048302011295365,"score_gpt":0.3631886286815528,"score_spread":0.3148866173861878,"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."}}