{"id":"W1992053221","doi":"10.1002/ev.325","title":"Enhancing disaster and emergency preparedness, response, and recovery through evaluation","year":2010,"lang":"en","type":"article","venue":"New Directions for Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"","keywords":"Preparedness; Disaster response; Emergency management; Disaster preparedness; Emergency response; Process management; Evaluation methods; Disaster recovery; Disaster planning; Computer science; Business; Risk analysis (engineering); Computer security; Public relations; Political science; Medical emergency; Poison control; Human factors and ergonomics; Engineering; Medicine; Reliability engineering","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01923286,0.0001683252,0.0001994032,0.0002752845,0.0005882491,0.0002575804,0.0001401196,0.0001276721,0.003677361],"category_scores_gemma":[0.01058643,0.0001436997,0.00007725303,0.0005825302,0.00005707318,0.001529189,0.00005406828,0.000143287,0.00005409091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117101,"about_ca_system_score_gemma":0.0007617656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007801387,"about_ca_topic_score_gemma":0.003041922,"domain_scores_codex":[0.9958462,0.0006345945,0.0007423634,0.0006284172,0.001939101,0.000209371],"domain_scores_gemma":[0.9964079,0.00110678,0.0003384211,0.0004812588,0.00155514,0.0001104634],"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":[0.0006838833,0.0001007595,0.007807197,0.00001428266,0.0000497492,6.299228e-8,0.01073652,0.0005569189,0.03856595,0.001059799,0.01633322,0.9240916],"study_design_scores_gemma":[0.005034,0.0006324694,0.3066417,0.00005026221,0.0005587229,0.00002951039,0.005520883,0.2630357,0.005985218,0.2529367,0.1588935,0.000681449],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752097,0.0003805103,0.01267523,0.001711366,0.003324509,0.001658257,0.00001630038,0.00005184856,0.004972261],"genre_scores_gemma":[0.9870321,0.0001431135,0.006553541,0.00009989898,0.000386143,0.0005523154,0.0000492588,0.00001979408,0.005163873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9234102,"threshold_uncertainty_score":0.9977478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1637329626934722,"score_gpt":0.5114703559569701,"score_spread":0.3477373932634978,"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."}}