{"id":"W2032238821","doi":"10.1136/jramc-153-04-14","title":"Military Intensive Care Part 2. Current Practice","year":2007,"lang":"en","type":"article","venue":"Journal of the Royal Army Medical Corps","topic":"Disaster Response and Management","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal College of Physicians and Surgeons of Canada","funders":"","keywords":"Intensive care unit; Shore; Accommodation; Medical emergency; Current (fluid); Control (management); Military medicine; Unit (ring theory); Patient care; Operations management; Medicine; Business; Engineering; Computer science; Intensive care medicine; Nursing; Political science; Law; Psychology; Geology; Electrical engineering","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":[0.0009304127,0.0007931995,0.0004515587,0.001830707,0.0009848075,0.001821624,0.0008613252,0.001929985,0.0535211],"category_scores_gemma":[0.003377887,0.0002661699,0.0004086214,0.001248644,0.0006331309,0.001301756,0.001324694,0.001891929,0.0243683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477054,"about_ca_system_score_gemma":0.00186319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001771498,"about_ca_topic_score_gemma":0.002510204,"domain_scores_codex":[0.9993812,0.0001408175,0.0001040021,0.0001145846,0.0001705883,0.0000887631],"domain_scores_gemma":[0.9979516,0.0002601213,0.000278493,0.00009196522,0.0005644141,0.0008534648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001198637,0.0003779443,0.008382262,0.001446522,0.00001143907,0.0009827062,0.0004789951,0.00020815,0.0008054894,0.002720051,0.2859776,0.698489],"study_design_scores_gemma":[0.0000537864,0.0002870966,0.03701054,0.007728774,0.00001846765,0.01100855,0.0007797968,0.0002914556,0.0003372211,0.00361385,0.9388322,0.00003819469],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02278738,0.4001246,0.01084764,0.07087349,0.01794567,0.001601926,0.002510649,0.0008044681,0.4725041],"genre_scores_gemma":[0.1607953,0.5136424,0.01922318,0.04609293,0.04146526,0.00345874,0.004476577,0.0003614061,0.2104843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0535211,"threshold_uncertainty_score":0.1790459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0510300283453843,"score_gpt":0.4281506052262773,"score_spread":0.377120576880893,"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."}}