{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005899717,0.0002783849,0.0002857512,0.000120444,0.000583183,0.00007134482,0.0002633628,0.0001362197,0.000008402093],"category_scores_gemma":[0.0001011775,0.0002208344,0.0001111237,0.0001748676,0.000015912,0.0001532018,0.0002524621,0.0002888146,0.00003060924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009754972,"about_ca_system_score_gemma":0.00009107622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001555488,"about_ca_topic_score_gemma":0.0006802746,"domain_scores_codex":[0.9977115,0.0001205501,0.0005700201,0.0005604808,0.0003006733,0.0007367095],"domain_scores_gemma":[0.9988984,0.0002272035,0.0001981143,0.0004564256,0.00005855437,0.000161244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005876706,0.00004601526,0.9838441,0.0003403387,0.00004883203,0.000006010712,0.008975876,0.00008601865,0.0002164126,0.00007250334,0.00388114,0.001895104],"study_design_scores_gemma":[0.001668767,0.00007341972,0.9829666,0.000125692,0.0002788126,7.967554e-7,0.002716153,0.00006423976,0.00004757741,0.0001597054,0.01146103,0.000437193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902577,0.0003597657,0.003966582,0.0006249203,0.0005552621,0.002283254,0.0002153626,0.000123184,0.001613985],"genre_scores_gemma":[0.9873404,0.00002743088,0.001201353,0.0009201763,0.002565644,0.0006672511,0.00004464997,0.00007313323,0.007159997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007579886,"threshold_uncertainty_score":0.9005365,"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."}}