{"id":"W2345297242","doi":"10.1017/dmp.2016.20","title":"Delivering Flexible Education and Training to Health Professionals: Caring for Older Adults in Disasters","year":2016,"lang":"en","type":"article","venue":"Disaster Medicine and Public Health Preparedness","topic":"Disaster Response and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces","funders":"Uniformed Services University of the Health Sciences; Henry M. Jackson Foundation; U.S. Department of Defense","keywords":"Curriculum; Preparedness; Medical education; Capstone; Flexibility (engineering); Medicine; Health care; Population; Nursing; Psychology; Pedagogy; Political science","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":[0.003078706,0.0004862983,0.0002425564,0.0006072242,0.001581416,0.001410506,0.001054665,0.001825424,0.006250126],"category_scores_gemma":[0.005301156,0.0003309989,0.0004583717,0.0002688755,0.0009764833,0.00150698,0.005270648,0.002266849,0.001660493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142662,"about_ca_system_score_gemma":0.008587921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003060881,"about_ca_topic_score_gemma":0.01136606,"domain_scores_codex":[0.9991986,0.0002001249,0.00005753097,0.00005481362,0.000215318,0.0002735589],"domain_scores_gemma":[0.9977694,0.0004011155,0.000256651,0.00007166061,0.0002460834,0.001255127],"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":[0.00007992142,0.003548945,0.01080229,0.002225533,0.00001793266,0.001067655,0.02735418,0.001726374,0.004944565,0.006881997,0.1933276,0.748023],"study_design_scores_gemma":[0.0003206751,0.002066686,0.09761042,0.005583962,0.00004099065,0.003273887,0.0336009,0.002100922,0.004165584,0.01681545,0.8342848,0.0001357116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4834832,0.01365303,0.08743973,0.1631315,0.01504111,0.01114418,0.001055471,0.001862413,0.2231893],"genre_scores_gemma":[0.5734307,0.02986854,0.2615617,0.04030736,0.002805203,0.006498468,0.001457228,0.0001511192,0.08391976],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006250126,"threshold_uncertainty_score":0.02090871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1209844935575452,"score_gpt":0.4588848754015826,"score_spread":0.3379003818440374,"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."}}