{"id":"W2625503474","doi":"","title":"Optimal Alignment of Search and Rescue Response Posture with Historical Incident Occurrence","year":2014,"lang":"en","type":"article","venue":"","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Search and rescue; Disaster response; Emergency response; Incident response; Medicine; Computer science; Aeronautics; Medical emergency; Artificial intelligence; Engineering; Emergency management; Computer security","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":[0.0009045855,0.0006973406,0.0006218677,0.0007280934,0.0003274766,0.0007903249,0.0005092652,0.0004157,0.0018828],"category_scores_gemma":[0.003427232,0.0004139221,0.0002541978,0.0005939849,0.0002878008,0.0004786441,0.0003798738,0.0003895365,0.0003062778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774837,"about_ca_system_score_gemma":0.00238009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03193898,"about_ca_topic_score_gemma":0.02934066,"domain_scores_codex":[0.999603,0.0000998688,0.00001824994,0.00006526125,0.00006554768,0.0001481674],"domain_scores_gemma":[0.9989587,0.0003972974,0.0002188593,0.0000473255,0.0002691771,0.0001086369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000268707,0.0002013173,0.01365376,0.00004930887,0.00003925031,0.00003493227,0.00005530385,0.9666003,0.002871539,0.0004459163,0.0008569432,0.01492274],"study_design_scores_gemma":[0.0000420283,0.0003631893,0.02555376,0.00001071195,0.00003828104,0.0000161933,0.0002203535,0.9706368,0.002319917,0.0003568105,0.0004221163,0.0000199565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371544,0.0001450372,0.05632675,0.0001846791,0.00002843198,0.0001840537,0.0005698694,0.0002339921,0.005172886],"genre_scores_gemma":[0.9941346,0.00001810902,0.005189943,0.00001088279,0.000003117255,0.00003503041,0.0002045557,0.00001101168,0.0003928478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03193898,"threshold_uncertainty_score":0.06350613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025716422048522,"score_gpt":0.2315869094841805,"score_spread":0.2113297452636953,"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."}}