{"id":"W2741806916","doi":"10.1007/s10479-017-2593-1","title":"A modular capacitated multi-objective model for locating maritime search and rescue vessels","year":2017,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; Dalhousie University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Backup; Coast guard; Computer science; Search and rescue; Operations research; Modular design; Artificial intelligence; Marine engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001198475,0.001408247,0.001935329,0.001012153,0.0006878102,0.001942405,0.003433865,0.00315305,0.006163668],"category_scores_gemma":[0.00230016,0.001147908,0.001154451,0.001715927,0.001118637,0.001586528,0.00164154,0.001231182,0.0007440697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692183,"about_ca_system_score_gemma":0.001605055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01471428,"about_ca_topic_score_gemma":0.009929052,"domain_scores_codex":[0.9994287,0.0002102687,0.00002103087,0.0001257868,0.00007422575,0.0001398959],"domain_scores_gemma":[0.9991118,0.0004549492,0.0001359895,0.00004294225,0.0001453528,0.0001089516],"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":[0.00001632265,0.000009019433,0.00006729346,0.00001163478,0.000008211377,0.0000251371,0.000005958746,0.99747,0.0001176019,0.001037481,0.00009357948,0.00113785],"study_design_scores_gemma":[0.00000636611,0.00001526632,0.0000332727,0.000001684895,0.000004913798,0.000003754666,0.000004191969,0.9993456,0.00002886229,0.0004972483,0.00005617224,0.000002661936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1150199,0.000497147,0.8709595,0.0005090438,0.0001254325,0.0001258569,0.0005574084,0.0003673112,0.01183832],"genre_scores_gemma":[0.9358749,0.0002913505,0.05234026,0.00006482552,0.0000380494,0.0002294141,0.0002630414,0.00006498287,0.01083322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01471428,"threshold_uncertainty_score":0.02925724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.385724764705991,"score_gpt":0.4452719322457438,"score_spread":0.05954716753975281,"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."}}