{"id":"W2752303426","doi":"10.7901/2169-3358-2017.1.1251","title":"A Comprehensive System for Simulating Oil Spill Trajectory and Behaviour in Subsurface and Surface Water Environments","year":2017,"lang":"en","type":"article","venue":"International Oil Spill Conference Proceedings","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Oil spill; Trajectory; Environmental science; Submarine pipeline; Marine engineering; Petroleum engineering; Oil field; Environmental engineering; Oceanography; Engineering; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002958397,0.0006398156,0.0004903839,0.0004167163,0.0004816894,0.0006030509,0.0009020345,0.0007117813,0.004709452],"category_scores_gemma":[0.0007367468,0.0003082743,0.0004809847,0.0004377757,0.0002807704,0.0005685989,0.0007232447,0.0004555047,0.0005146308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006527384,"about_ca_system_score_gemma":0.001364816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03084796,"about_ca_topic_score_gemma":0.02336656,"domain_scores_codex":[0.9999065,0.00001641384,0.000008924196,0.00002570662,0.0000287401,0.00001369106],"domain_scores_gemma":[0.999804,0.00005272591,0.00002126672,0.00003012607,0.00006239879,0.00002957337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001126461,0.0001272216,0.005683877,0.00007443247,0.00004683321,0.00009540089,0.00009687054,0.9696548,0.006339607,0.00137164,0.001206904,0.01518983],"study_design_scores_gemma":[0.00001639335,0.0000217341,0.0003749144,0.000002299203,0.000006944204,0.000005095354,0.000009544138,0.9977617,0.0009161714,0.0001395591,0.0007396154,0.000006052159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5769164,0.0001573556,0.3800442,0.0002709572,0.0001500226,0.0004937482,0.004496904,0.02249456,0.01497577],"genre_scores_gemma":[0.9218976,0.0001187845,0.07217169,0.00004120535,0.00001339421,0.0002909636,0.002040494,0.0002562123,0.003169582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03084796,"threshold_uncertainty_score":0.06133682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320076891226135,"score_gpt":0.2560634671779941,"score_spread":0.2328626982657327,"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."}}