{"id":"W3168368261","doi":"10.1016/j.jhazmat.2021.126425","title":"Intelligent computational techniques in marine oil spill management: A critical review","year":2021,"lang":"en","type":"review","venue":"Journal of Hazardous Materials","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Fisheries and Oceans Canada","keywords":"Oil spill; Environmental science; Computer science; Process (computing); Key (lock); Operations research; Environmental resource management; Engineering; Environmental engineering; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001273615,0.0002709244,0.001462498,0.0001813421,0.00003957704,0.0000830338,0.0002742608,0.0001359792,0.008452776],"category_scores_gemma":[0.0001326609,0.0002159516,0.0003282676,0.0003146802,0.00008151824,0.0001243248,0.0002757233,0.000238857,0.0002420219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004238255,"about_ca_system_score_gemma":0.00004645679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001320158,"about_ca_topic_score_gemma":0.000005341633,"domain_scores_codex":[0.9970677,0.0003951511,0.001603724,0.0002430492,0.0004831303,0.0002072178],"domain_scores_gemma":[0.9988833,0.000083288,0.000711666,0.0001748704,0.00004832332,0.00009854562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000406172,0.00007534455,0.000001482005,0.01612826,0.00004837265,0.0003337036,0.000006520692,0.00000371666,0.00001571406,0.0001494165,0.001852735,0.9813807],"study_design_scores_gemma":[0.00007851793,0.00006394539,0.00001082291,0.04981866,0.0003999705,0.001012025,0.000005643614,3.587753e-7,0.0002014179,0.0004157741,0.947777,0.0002158334],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003295723,0.9943448,0.0001218764,0.0001883974,0.0007127303,0.0002404659,0.00001586095,0.00001861833,0.004324317],"genre_scores_gemma":[0.00002082365,0.9926679,0.00642718,0.0003218977,0.0001438122,0.00003694538,0.00003343408,0.00002979074,0.0003182198],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9811649,"threshold_uncertainty_score":0.9924536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157761862332072,"score_gpt":0.3302990099357885,"score_spread":0.2987213913124678,"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."}}