{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002019801,0.00004372108,0.00004530713,0.00005457747,0.0001501954,0.0003293302,0.0001831312,0.00002524159,0.00007378712],"category_scores_gemma":[0.00001724188,0.00003534742,0.00001238866,0.0001236682,0.00002056845,0.0006212515,0.00008005222,0.00003574401,0.0000656985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009867145,"about_ca_system_score_gemma":0.00004263057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003770909,"about_ca_topic_score_gemma":0.00007743647,"domain_scores_codex":[0.9994698,0.00001633049,0.00009594177,0.0001704607,0.0001086718,0.0001388297],"domain_scores_gemma":[0.999505,0.00002138064,0.000002285719,0.0001732644,0.0002187841,0.0000793121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001618537,0.00009324851,0.0001768218,0.00003257518,0.00001935262,2.628942e-7,0.001453381,0.1148698,0.003371046,0.721661,0.00578916,0.1525317],"study_design_scores_gemma":[0.0001718906,0.00004781022,0.0005424566,0.00000200347,5.011359e-7,0.00000152301,0.00002729905,0.9972673,0.000660688,0.0005008765,0.0007250699,0.00005256292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003764876,0.00001201751,0.9885806,0.0058534,0.00004087504,0.0005881477,7.880809e-7,0.00007713565,0.001082092],"genre_scores_gemma":[0.1609701,0.00003104837,0.8311834,0.0006630284,0.00002983463,0.0002273361,0.00001457116,0.000005310279,0.006875339],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8823975,"threshold_uncertainty_score":0.3175738,"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."}}