{"id":"W2316360978","doi":"10.1017/dmp.2014.73","title":"Breakout Session 5 Summary: Development of Evidence-Based Technical Guidance and Education/ Training Programs for the Advancement of Health and Disaster Risk Management Capabilities","year":2014,"lang":"en","type":"article","venue":"Disaster Medicine and Public Health Preparedness","topic":"Disaster Response and Management","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Response Biomedical (Canada)","funders":"","keywords":"Breakout; Session (web analytics); Training (meteorology); Risk analysis (engineering); Medical emergency; Medical education; Business; Medicine; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.007077328,0.0002538776,0.0006832546,0.0001814024,0.0007426739,0.00001828148,0.000207412,0.00006931458,0.00001764119],"category_scores_gemma":[0.0005380769,0.0001489048,0.00003606508,0.0002054612,0.0004525062,0.0002246735,0.0002593859,0.0001609818,3.893128e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001363655,"about_ca_system_score_gemma":0.001361726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003552926,"about_ca_topic_score_gemma":0.0003475103,"domain_scores_codex":[0.9957601,0.001186302,0.001500267,0.0005007089,0.0004247467,0.0006278098],"domain_scores_gemma":[0.996564,0.001444173,0.0008957969,0.0005062206,0.00020104,0.0003887445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001819505,0.0001302466,0.005385946,0.007374506,0.00004044612,4.421283e-8,0.2823214,6.366987e-7,0.000001721335,0.002914709,0.00165119,0.6999972],"study_design_scores_gemma":[0.001839815,0.0008114506,0.006552022,0.009072863,0.00004679155,0.000001041873,0.5902975,0.0002210949,3.088012e-7,0.0004657274,0.3905216,0.000169763],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6752728,0.02572319,0.2115427,0.06867896,0.001249967,0.01454804,0.00005318932,0.0001335,0.002797664],"genre_scores_gemma":[0.974377,0.003231923,0.009452775,0.007847634,0.0001679179,0.003461682,0.00009104449,0.00004218892,0.001327856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6998275,"threshold_uncertainty_score":0.607216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2400401733115374,"score_gpt":0.4545035007762645,"score_spread":0.2144633274647271,"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."}}