{"id":"W4220926833","doi":"10.3390/jmse10030425","title":"The Formulation, Development and Application of Oil Dispersants","year":2022,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Fisheries and Oceans Canada","keywords":"Dispersant; Oil spill; Environmental science; Environmentally friendly; Countermeasure; Biochemical engineering; Engineering; Environmental engineering; Ecology; Dispersion (optics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003793614,0.0005423989,0.0004341626,0.0008207592,0.0002391411,0.000506876,0.0003930645,0.000544665,0.0006552409],"category_scores_gemma":[0.000451224,0.000286569,0.0004533802,0.0004601332,0.0002295724,0.0007339949,0.0004582886,0.0009225189,0.0004067142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003567218,"about_ca_system_score_gemma":0.0005580367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006807107,"about_ca_topic_score_gemma":0.001114962,"domain_scores_codex":[0.999679,0.00004412521,0.00003894185,0.00005546371,0.0001481432,0.00003441354],"domain_scores_gemma":[0.999904,0.00001816695,0.00003082967,0.000004528455,0.00003138707,0.00001099339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001000149,0.0001607558,0.0004379595,0.01038284,0.00008037194,0.0008035938,0.000253937,0.00406443,0.7602784,0.01159017,0.00183054,0.2100169],"study_design_scores_gemma":[0.00002301406,0.001248163,0.001539449,0.0007463171,0.0001063668,0.001232965,0.0001293109,0.002712679,0.6824403,0.001630589,0.3081333,0.00005743545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1947239,0.7035824,0.07397566,0.001745992,0.0009725342,0.0005404751,0.00060792,0.0002147384,0.02363642],"genre_scores_gemma":[0.3737707,0.5666161,0.04774585,0.0005192945,0.0002822361,0.000292789,0.0003487308,0.00004782318,0.0103765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008207592,"threshold_uncertainty_score":0.002588212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003347182099583298,"score_gpt":0.1812612269013637,"score_spread":0.1779140448017804,"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."}}