{"id":"W4413135433","doi":"10.1080/03155986.2025.2539634","title":"Multiobjective facility location model for optimizing Arctic oil spill response","year":2025,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Ocean Frontier Institute","keywords":"Oil spill; Environmental science; Facility location problem; Arctic; Emergency response; Disaster response; The arctic; Marine engineering; Petroleum engineering; Computer science; Environmental engineering; Engineering; Operations research; Oceanography; Geology; Emergency management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00283212,0.00009867739,0.0001047314,0.000241192,0.0007257567,0.0003549345,0.00009938734,0.0001003061,0.00004078321],"category_scores_gemma":[0.001188943,0.00009088501,0.00003094492,0.0004369283,0.000142201,0.00161869,0.00008486384,0.0001539005,0.0001677928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000519357,"about_ca_system_score_gemma":0.000172606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005660742,"about_ca_topic_score_gemma":0.00006158977,"domain_scores_codex":[0.9985372,0.0001190587,0.0004367617,0.0001610623,0.0005239761,0.0002219735],"domain_scores_gemma":[0.9988473,0.0002972927,0.00006684459,0.0001492166,0.0005595461,0.00007977999],"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":[0.001358472,0.00004202507,0.002202146,0.0004392778,0.00003231758,1.489984e-7,0.004940818,0.9106593,0.002568748,0.02119387,0.004095684,0.05246722],"study_design_scores_gemma":[0.0007476145,0.00006299844,0.007121149,0.00005245074,0.000003305404,0.000002503325,0.001424485,0.9575828,0.0004882907,0.000195588,0.03220741,0.0001113683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4215424,0.0001178956,0.5382824,0.002196591,0.0005561609,0.002543135,0.0002522707,0.0001345433,0.03437462],"genre_scores_gemma":[0.9927636,0.00001858645,0.00136173,0.0002718709,0.00001600932,0.000599017,0.00009582304,0.000002947061,0.004870404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5712212,"threshold_uncertainty_score":0.5582008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04273938634433408,"score_gpt":0.3360766203165712,"score_spread":0.2933372339722371,"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."}}