{"id":"W2792141141","doi":"10.1002/2017gl076606","title":"Was the Deepwater Horizon Well Discharge Churn Flow? Implications on the Estimation of the Oil Discharge and Droplet Size Distribution","year":2018,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Gulf of Mexico Research Initiative","keywords":"Wellhead; Flow (mathematics); Plume; Petroleum engineering; Mechanics; Environmental science; Fluid dynamics; Geology; Meteorology; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005817241,0.0001039414,0.0000766656,0.00001079282,0.0009643803,0.0000748772,0.0003392468,0.00003664203,0.000315099],"category_scores_gemma":[0.0003547877,0.00004789308,0.00006542978,0.0004165801,0.001326218,0.0001473193,0.0002509828,0.0003359568,0.0006514332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074499,"about_ca_system_score_gemma":0.000008549532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002973314,"about_ca_topic_score_gemma":0.0000676152,"domain_scores_codex":[0.9983207,0.000323373,0.0001510793,0.0002605605,0.0006113616,0.0003329421],"domain_scores_gemma":[0.998921,0.000454476,0.00005748687,0.0004672483,0.00002950933,0.00007029735],"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":[0.0001056029,0.000273649,0.002701707,0.00002486484,0.00003263829,3.726476e-7,0.001328012,0.0002155648,0.8436102,0.01153642,0.05200025,0.08817079],"study_design_scores_gemma":[0.0004776775,0.0004138568,0.8243355,0.00005473835,0.00002713261,0.000003566598,0.0001997332,0.01817736,0.1214375,0.006476773,0.02814366,0.0002524393],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255058,0.000002105308,0.0004482163,0.07254726,0.0000859973,0.0002472685,0.00003681532,0.000014443,0.001112127],"genre_scores_gemma":[0.9984019,0.000009658058,0.00002769297,0.0007924146,0.0001488776,0.00009826705,0.00001607112,0.000009491798,0.0004955964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8216338,"threshold_uncertainty_score":0.8373073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154186643267423,"score_gpt":0.2712178000704442,"score_spread":0.2557991357437018,"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."}}