{"id":"W4205605259","doi":"10.7901/2169-3358-2021.1.685724","title":"Response Options for an Offshore Deepwater Blow-Out, A Generic Evaluation of Individual and Combined Response Strategies","year":2021,"lang":"en","type":"article","venue":"International Oil Spill Conference Proceedings","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Equinor (Canada)","funders":"","keywords":"Subsea; Dispersant; Petroleum engineering; Environmental science; Residual oil; Submarine pipeline; Residual; Oil spill; Recovery rate; Marine engineering; Computer science; Environmental engineering; Geology; Engineering; Geotechnical engineering; Chemistry; Dispersion (optics); Chromatography","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":[0.001789779,0.0001444028,0.0001378009,0.000106519,0.0001172943,0.0002317943,0.0002139371,0.0000884488,0.001141399],"category_scores_gemma":[0.0005828535,0.0001447718,0.00005000392,0.0001506444,0.0001758615,0.0006839371,0.0001206315,0.00008681636,0.00001628254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000140294,"about_ca_system_score_gemma":0.000145332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002068338,"about_ca_topic_score_gemma":0.000118349,"domain_scores_codex":[0.9983159,0.00009496316,0.0003090763,0.0003787011,0.0007376506,0.0001636519],"domain_scores_gemma":[0.9988887,0.00007761783,0.0001677625,0.00008995173,0.0006808779,0.00009512719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003489941,0.000222221,0.004372337,0.00002630651,0.00007981978,0.000001676674,0.009319499,0.0002087361,0.9282526,0.004357953,0.0004845859,0.04918437],"study_design_scores_gemma":[0.006910848,0.002109379,0.5374451,0.0001856808,0.0003299119,0.0001082828,0.02009299,0.1005802,0.2962691,0.02368014,0.0113326,0.0009557049],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951552,0.00002075905,0.0003039913,0.001233036,0.0002080736,0.000156565,0.00005180402,0.00003658189,0.002834056],"genre_scores_gemma":[0.9964591,0.00002458026,0.00250268,0.0001792305,0.00003361894,0.0001225384,0.00006294099,0.00001364922,0.0006016248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6319834,"threshold_uncertainty_score":0.9997717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05999833397912623,"score_gpt":0.3108322198793705,"score_spread":0.2508338859002443,"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."}}