{"id":"W2737599524","doi":"10.1016/j.marpolbul.2017.07.042","title":"Settling of dilbit-derived oil-mineral aggregates (OMAs) &amp; transport parameters for oil spill modelling","year":2017,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Settling; Dispersant; Flocculation; Sediment; Wave tank; Sedimentation; Environmental science; Particle (ecology); Particle size; Oil sands; Mineralogy; Geology; Soil science; Asphalt; Environmental engineering; Materials science; Dispersion (optics); Geomorphology; Oceanography; Composite material","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":[0.0002884333,0.0001734448,0.000202456,0.00004775997,0.0004130213,0.00003792081,0.0002185131,0.00009021289,0.001097271],"category_scores_gemma":[0.00008339687,0.0001728498,0.0001530977,0.00005238031,0.0002227091,0.00009516252,0.00009023415,0.00009978233,0.0001391337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008392228,"about_ca_system_score_gemma":0.000007646757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003053328,"about_ca_topic_score_gemma":0.0006036542,"domain_scores_codex":[0.9988073,0.00002500994,0.0003354082,0.0003272858,0.0002204347,0.0002846369],"domain_scores_gemma":[0.9991889,0.00002536097,0.0003018205,0.0003619577,0.0000216383,0.0001002971],"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":[0.0007147019,0.0003160113,0.03918442,0.0002936425,0.0001040493,0.000008022299,0.0007962622,0.2205372,0.1398642,0.000483202,0.001783391,0.595915],"study_design_scores_gemma":[0.008188626,0.0005045796,0.1571043,0.000326245,0.0002899275,0.00005264993,0.0002014101,0.09968805,0.1471772,0.003180692,0.5811894,0.002096975],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827541,0.00002087831,0.006077794,0.002767931,0.0002546472,0.00009409245,0.00003421276,0.00006704464,0.007929335],"genre_scores_gemma":[0.9745222,0.00008437604,0.01845818,0.0001791712,0.00005578644,0.00004304175,0.00004997034,0.00002340485,0.006583896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5938179,"threshold_uncertainty_score":0.9998159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154415203999428,"score_gpt":0.2304015317284642,"score_spread":0.2088573796884699,"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."}}