{"id":"W7096631854","doi":"","title":"EFFORT ALLOCATION ALGORITHMS FOR SEARCH AND RESCUE OPERATIONS 1","year":2013,"lang":"en","type":"article","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Search algorithm; Beam search; Object (grammar); Search and rescue; Best-first search; Incremental heuristic search; Guided Local Search; Constraint satisfaction; Local search (optimization)","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":[0.001274051,0.00129359,0.001288436,0.001074089,0.0007210599,0.00143158,0.001756047,0.001376081,0.006658304],"category_scores_gemma":[0.004243692,0.000475872,0.0006271734,0.00181835,0.0008800791,0.002019051,0.001333021,0.001425694,0.0009584781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002164389,"about_ca_system_score_gemma":0.001738035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01125797,"about_ca_topic_score_gemma":0.007916638,"domain_scores_codex":[0.9991757,0.000328514,0.00003765913,0.0001270837,0.000205541,0.0001253713],"domain_scores_gemma":[0.9991382,0.0005730275,0.00005918252,0.00004800298,0.0001462607,0.00003519424],"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":[0.00005071891,0.000050025,0.0002347564,0.00008618103,0.00002205823,0.00002476346,0.00006001855,0.8218169,0.0004601706,0.07563107,0.004308308,0.09725506],"study_design_scores_gemma":[0.0000195508,0.00001705404,0.00005056436,0.00001316265,0.000005685545,0.00001317137,0.00001345492,0.9725813,0.0001764812,0.02474244,0.002362137,0.000004872361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003875019,0.0006160744,0.9892696,0.0001899538,0.00005978323,0.0000721166,0.00006767638,0.0002245332,0.005625281],"genre_scores_gemma":[0.2627633,0.001373245,0.7223603,0.0002013117,0.0001679957,0.0005911115,0.0004081785,0.0002055035,0.01192907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01125797,"threshold_uncertainty_score":0.02238488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04150070422041389,"score_gpt":0.3076132840125321,"score_spread":0.2661125797921182,"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."}}