{"id":"W4409597167","doi":"10.1016/j.marpolbul.2025.117996","title":"Consolidating the state of knowledge of surface washing agents for oil spill response decision making","year":2025,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada","keywords":"Oil spill; State (computer science); Environmental science; Computer science; Environmental protection","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00119839,0.00008806805,0.0001248397,0.00005146594,0.0001642455,0.00001362922,0.0001472559,0.00003430987,0.0006712394],"category_scores_gemma":[0.0007255151,0.00007194682,0.00006851008,0.0002703893,0.0001279705,0.0000283485,0.0002651621,0.00007037501,0.00004939403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001175968,"about_ca_system_score_gemma":0.0000177917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00021097,"about_ca_topic_score_gemma":0.0001177879,"domain_scores_codex":[0.9990492,0.0001504846,0.000349928,0.0001732119,0.0001292469,0.0001478717],"domain_scores_gemma":[0.9991676,0.0004024891,0.0001897103,0.0001847694,0.00003346016,0.00002194348],"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":[0.001599167,0.0001143546,0.005048001,0.00009834348,0.00002715286,4.184861e-7,0.0008845921,0.01958468,0.0597808,0.0003029765,0.009417959,0.9031416],"study_design_scores_gemma":[0.003297545,0.0003150593,0.3445447,0.0006712897,0.00008172937,0.000008025129,0.0006626524,0.02115146,0.1757769,0.005682645,0.4473644,0.0004436219],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804241,0.00003299621,0.006703989,0.001105454,0.0002130166,0.0001669812,0.00001596339,0.00002283807,0.01131466],"genre_scores_gemma":[0.989673,0.0000165465,0.003983128,0.0001756873,0.000007337202,0.00000987219,0.00000237651,0.000007401542,0.006124709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9026979,"threshold_uncertainty_score":0.7349601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056373553510144,"score_gpt":0.2716217649333492,"score_spread":0.2610580293982477,"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."}}