{"id":"W2164358490","doi":"10.7901/2169-3358-2014-1-300156.1","title":"SUBMERSIBLE OPTICAL SENSORS EXPOSED TO CHEMICALLY-DISPERSED CRUDE OIL: WAVE TANK SIMULATIONS FOR IMPROVED OIL SPILL MONITORING","year":2014,"lang":"en","type":"article","venue":"International Oil Spill Conference Proceedings","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Environmental science; Dilution; Plume; Subsea; Petroleum; Petroleum engineering; BTEX; Oil spill; Ethylbenzene; Environmental engineering; Marine engineering; Engineering; Toluene; Chemistry; Meteorology","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":[0.0001918271,0.0002745547,0.0002328797,0.0001566818,0.0001677453,0.0002527314,0.0004422061,0.0003687056,0.0008106321],"category_scores_gemma":[0.000295743,0.0001498653,0.000279763,0.0001881787,0.0001880664,0.000289797,0.0002414777,0.0003565098,0.00007219511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007336913,"about_ca_system_score_gemma":0.0004699915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02203367,"about_ca_topic_score_gemma":0.02322062,"domain_scores_codex":[0.9999404,0.000007772921,0.000002596927,0.00001222055,0.00002238534,0.00001457306],"domain_scores_gemma":[0.9998729,0.00006573517,0.00001905588,0.00001119161,0.00002523926,0.000005803009],"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":[0.0003694834,0.0002591238,0.009246947,0.000145982,0.00002926431,0.0001416798,0.0001187254,0.7393652,0.2432346,0.000478428,0.000225615,0.006384941],"study_design_scores_gemma":[0.00003626408,0.0002751617,0.004440119,0.000003045149,0.00001426081,0.000009484179,0.00006308375,0.9330943,0.0617764,0.00007625052,0.0002025953,0.00000905281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951621,0.00001852148,0.003854921,0.00003185324,0.00000344313,0.00001904536,0.0002026463,0.00003529809,0.0006721191],"genre_scores_gemma":[0.995189,0.00004992359,0.004027251,0.000008924298,7.116004e-7,0.00003335252,0.0001086463,0.000005220551,0.0005771018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02203367,"threshold_uncertainty_score":0.04381084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417445678593087,"score_gpt":0.2551434222692032,"score_spread":0.2309689654832724,"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."}}