{"id":"W1985567549","doi":"10.1016/s1353-2561(03)00040-9","title":"In-situ Treatment of Oiled Sediment Shorelines","year":2003,"lang":"en","type":"article","venue":"Spill Science & Technology Bulletin","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Bedford Institute of Oceanography; Alberta Environment and Protected Areas","funders":"","keywords":"Sediment; Intertidal zone; Bioremediation; Environmental science; Shore; Biodegradation; Contamination; Biostimulation; Environmental chemistry; Geology; Environmental engineering; Hydrology (agriculture); Geotechnical engineering; Chemistry; Ecology; Oceanography; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003577085,0.0001282751,0.0001587196,0.0003626617,0.0001258213,0.000008968031,0.0002447167,0.0001030742,0.002110265],"category_scores_gemma":[0.0001241938,0.0001071748,0.00003742557,0.001716938,0.001410094,0.00005964675,0.00006246175,0.00006961254,0.0006385152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003571423,"about_ca_system_score_gemma":0.00003047748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001650715,"about_ca_topic_score_gemma":0.0001796515,"domain_scores_codex":[0.9986863,0.00002224109,0.0002528402,0.0004139412,0.0002776091,0.0003471394],"domain_scores_gemma":[0.9995136,0.00001282879,0.0000877074,0.000303274,0.00001810575,0.00006451279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001542619,0.0004369508,0.04696504,0.000003647298,0.000004308952,0.00001765999,0.0002746371,0.0004282173,0.8989286,0.00784532,0.0006625121,0.04441762],"study_design_scores_gemma":[0.0005523792,0.0004526787,0.006343104,0.000008026534,0.0000050534,0.00002063326,0.0002492743,0.00003306887,0.7520702,0.001587924,0.2385328,0.0001448881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520565,0.00008156546,0.00007832088,0.003153208,0.0002344386,0.000224157,7.043165e-7,0.00007120326,0.04409991],"genre_scores_gemma":[0.9963167,0.00007984087,0.002393391,0.0001164889,0.000007189439,0.00004592742,3.656386e-7,0.000005974919,0.001034155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2378703,"threshold_uncertainty_score":0.9988019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006424578980926734,"score_gpt":0.2298985789557082,"score_spread":0.2234739999747815,"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."}}