{"id":"W286790658","doi":"10.1016/j.ejor.2003.10.029","title":"SARPlan: A decision support system for Canadian Search and Rescue Operations","year":2004,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Search and rescue; Decision support system; Computer science; Operations research; Engineering; Artificial intelligence; Robot","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":[0.0006231631,0.001360014,0.0006888795,0.001489876,0.0008721033,0.001147665,0.001461447,0.0004641371,0.01705503],"category_scores_gemma":[0.001466349,0.0003985292,0.0003411171,0.001311132,0.0003361601,0.001133201,0.0007428281,0.0005922274,0.002891421],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003276635,"about_ca_system_score_gemma":0.006951224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4360354,"about_ca_topic_score_gemma":0.5106955,"domain_scores_codex":[0.9997293,0.00002674489,0.00001623246,0.00005285469,0.0001272097,0.00004762861],"domain_scores_gemma":[0.9991636,0.0001536942,0.00005217436,0.00008027271,0.0004030309,0.000147221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004326674,0.000454959,0.01394007,0.0006510793,0.0002659696,0.0005335679,0.0005428901,0.1368875,0.02367118,0.004653929,0.3970783,0.4169939],"study_design_scores_gemma":[0.0007811948,0.0004197585,0.01301694,0.00009974512,0.0002466385,0.0001699899,0.0003669653,0.8029436,0.01870837,0.002784584,0.1601733,0.0002888947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.2193781,0.001154124,0.2409728,0.001516576,0.0006747982,0.001527896,0.07152734,0.4169855,0.04626283],"genre_scores_gemma":[0.641721,0.001429579,0.2430549,0.0007729373,0.000176859,0.0007199029,0.07865787,0.004323197,0.02914376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9967234,"threshold_uncertainty_score":0.8669949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0883167890346906,"score_gpt":0.3564225687883026,"score_spread":0.268105779753612,"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."}}