{"id":"W4229657417","doi":"10.7748/ns2012.03.26.27.32.p7777","title":"Military Nurse","year":2012,"lang":"en","type":"article","venue":"Nursing Standard","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Nursing; Military personnel; Military health; Psychology; Medicine; Political science; Health care; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001448248,0.0005834711,0.0005134348,0.0008385685,0.004498346,0.002572075,0.0009994507,0.002624329,0.2966897],"category_scores_gemma":[0.01438394,0.0004016334,0.0003595004,0.0005936213,0.0005548865,0.002078577,0.004117544,0.003678214,0.1807039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441881,"about_ca_system_score_gemma":0.007550457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003198083,"about_ca_topic_score_gemma":0.01105068,"domain_scores_codex":[0.9982691,0.0003241413,0.0000893306,0.0001583257,0.0006816324,0.0004773549],"domain_scores_gemma":[0.9862989,0.0005402932,0.0003400936,0.0004262239,0.004430083,0.007964445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001138173,0.00003291934,0.0003160809,0.00004212073,9.492425e-7,0.0001078562,0.0001499897,0.000007596653,0.00005758617,0.0005826423,0.9566358,0.04205506],"study_design_scores_gemma":[0.000009263095,0.0000499581,0.00107253,0.0001806689,0.000001575574,0.0007120869,0.001125955,0.0000205856,0.00003805639,0.0005664448,0.996215,0.000007792324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006249029,0.008055286,0.001716313,0.1467459,0.08047221,0.0005358751,0.000878288,0.0009856059,0.7543616],"genre_scores_gemma":[0.01433063,0.007036471,0.001559719,0.05981394,0.006651237,0.0003931157,0.0006802932,0.0002682215,0.9092664],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2966897,"threshold_uncertainty_score":0.9925258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07318881880495907,"score_gpt":0.4908299233649046,"score_spread":0.4176411045599455,"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."}}