{"id":"W2804741773","doi":"10.2166/wst.2001.0295","title":"A GIS planning model for urban oil spill management","year":2001,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geographic information system; Environmental science; Oil spill; Urban planning; Pollution; Environmental resource management; Environmental planning; Environmental engineering; Environmental protection; Geography; Engineering; Civil engineering; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007271345,0.001063884,0.000593949,0.001089778,0.0008010254,0.001961004,0.001792106,0.0009956203,0.01364894],"category_scores_gemma":[0.001675225,0.000772624,0.001258196,0.001960892,0.0005654176,0.001425383,0.001021876,0.0007993593,0.001651794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002595713,"about_ca_system_score_gemma":0.002773464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05624575,"about_ca_topic_score_gemma":0.05441373,"domain_scores_codex":[0.9996309,0.0001265518,0.00003568466,0.00006935772,0.00009876069,0.00003869424],"domain_scores_gemma":[0.9994047,0.0003207902,0.00004779024,0.00003788445,0.0001453095,0.00004349883],"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":[0.00002669096,0.00001699181,0.0005113611,0.0000387084,0.0000143974,0.00007945168,0.00006924964,0.9771487,0.0001714318,0.01237437,0.001893306,0.007655542],"study_design_scores_gemma":[0.00001279949,0.000009076588,0.00007797375,0.000009009862,0.000008283873,0.00001770707,0.00004501156,0.9879168,0.0001693668,0.005013328,0.006712718,0.000007785586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02641943,0.0002854322,0.9281691,0.0007805687,0.00008798057,0.0004312938,0.007913791,0.004853567,0.03105884],"genre_scores_gemma":[0.2924744,0.0007801448,0.6761989,0.000133467,0.000029337,0.001448335,0.009129019,0.0005326197,0.01927382],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05624575,"threshold_uncertainty_score":0.1118367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279574903821312,"score_gpt":0.2342790490194901,"score_spread":0.221483299981277,"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."}}