{"id":"W4249889731","doi":"10.11159/iceptp20.1","title":"Urban Oil Spill Management","year":2020,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Oil spill; Environmental science; Petroleum engineering; Environmental engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006105705,0.0005555135,0.0002768111,0.001802206,0.001088941,0.001337284,0.0010111,0.0002977194,0.007018652],"category_scores_gemma":[0.001216486,0.0001694607,0.0003431843,0.002706309,0.0002899402,0.0007866211,0.001753687,0.00031958,0.001522161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984424,"about_ca_system_score_gemma":0.003663098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03192554,"about_ca_topic_score_gemma":0.06477085,"domain_scores_codex":[0.9993137,0.0001143217,0.00004868807,0.00008752501,0.0002730699,0.0001626634],"domain_scores_gemma":[0.9992486,0.00004769796,0.0001680392,0.00006364955,0.0003677435,0.0001042999],"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":[0.0001281813,0.0002577104,0.05309771,0.0003886303,0.00005764884,0.000311807,0.000684255,0.0284803,0.00279159,0.009990267,0.0511074,0.8527045],"study_design_scores_gemma":[0.00007656896,0.0006276217,0.1169628,0.0005942773,0.0001949195,0.0007016633,0.01136973,0.07122326,0.01391767,0.01472807,0.7694398,0.0001637292],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.407056,0.01440767,0.20695,0.01585416,0.000678045,0.003367901,0.009076511,0.008161175,0.3344485],"genre_scores_gemma":[0.8443592,0.01374664,0.05732808,0.0006545382,0.0001542237,0.0005870204,0.005996733,0.0002397063,0.076934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03192554,"threshold_uncertainty_score":0.06347942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004331329505687411,"score_gpt":0.1656238932040645,"score_spread":0.1612925636983771,"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."}}