{"id":"W1556857162","doi":"10.1542/peds.2006-0099p","title":"Getting Kids From the Big Easy Hospitals to Our Place (Not Easy): Preparing, Improvising, and Caring for Children During Mass Transport After a Disaster","year":2006,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Disaster Response and Management","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Improvisation; Medical emergency; Visual arts","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":[0.001320408,0.0004447936,0.0003013191,0.0006911547,0.001785323,0.001349617,0.001200255,0.0009699131,0.003560005],"category_scores_gemma":[0.006240658,0.0002821459,0.0003210803,0.0004525936,0.00154155,0.001892273,0.002022478,0.001452734,0.0008298114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092276,"about_ca_system_score_gemma":0.002386335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003145525,"about_ca_topic_score_gemma":0.01496645,"domain_scores_codex":[0.9992383,0.0003163248,0.00007844748,0.00005969347,0.0001477212,0.0001595846],"domain_scores_gemma":[0.9987952,0.0003863677,0.0003384101,0.00003452217,0.0001347348,0.0003108279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000467856,0.0008841049,0.1817209,0.008037834,0.0002188842,0.06870861,0.08194878,0.0006121448,0.002593211,0.002206246,0.1334202,0.5191812],"study_design_scores_gemma":[0.00009398478,0.001584995,0.204917,0.01318636,0.0003096022,0.2466764,0.304308,0.00046061,0.003157908,0.002913585,0.2222039,0.0001875879],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.787366,0.1060973,0.004530801,0.02775017,0.002396044,0.0008550048,0.0005372598,0.0002759512,0.0701915],"genre_scores_gemma":[0.8767636,0.09766566,0.009318829,0.007944172,0.001074145,0.0003841272,0.0003060194,0.00007622039,0.006467131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003560005,"threshold_uncertainty_score":0.01190943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230998762611232,"score_gpt":0.2976632925987281,"score_spread":0.2853533049726159,"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."}}