{"id":"W2905859223","doi":"","title":"Looking Back on a Post-Disaster Response: Analyzing Medical Activities to Understand the Transformation of Public Buildings to Medical Facilities","year":2012,"lang":"en","type":"article","venue":"","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disaster response; Public relations; Public health; Architectural engineering; Business; Environmental planning; Environmental health; Political science; Emergency management; Engineering; Economic growth; Geography; Medicine; Nursing; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001110167,0.0005169311,0.0001681245,0.002631798,0.002707621,0.003503575,0.0006624032,0.001174302,0.001335805],"category_scores_gemma":[0.002057127,0.0002040706,0.0002281077,0.002625008,0.005663076,0.003505915,0.001566535,0.001473458,0.0003420059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004662841,"about_ca_system_score_gemma":0.002932486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07200149,"about_ca_topic_score_gemma":0.1481664,"domain_scores_codex":[0.9993943,0.0003055869,0.00002663596,0.00004799116,0.0000862046,0.0001391587],"domain_scores_gemma":[0.9987801,0.0006561584,0.0002114794,0.0000498488,0.0001944223,0.0001080181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005355654,0.00005758582,0.03964217,0.0002858939,0.00001738556,0.002149659,0.9095111,0.000296646,0.002064639,0.01022135,0.004870314,0.03082964],"study_design_scores_gemma":[0.000002235029,0.00003105892,0.06772815,0.0001701276,0.000007235902,0.0003130876,0.9046395,0.000204171,0.0004414849,0.001294752,0.02515457,0.00001360287],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571137,0.00506984,0.003368381,0.01098797,0.00009941876,0.00006644252,0.0003478345,0.00002394822,0.02292241],"genre_scores_gemma":[0.9878213,0.004278116,0.002631726,0.001339894,0.00004268722,0.000038115,0.000264753,0.00001859523,0.003564696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07200149,"threshold_uncertainty_score":0.1431648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08954735455698554,"score_gpt":0.4011492938221274,"score_spread":0.3116019392651419,"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."}}