{"id":"W2054482754","doi":"10.1016/j.jhazmat.2003.11.008","title":"Formation of water-in-oil emulsions and application to oil spill modelling","year":2004,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":154,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Emulsion; Asphaltene; Rheology; Viscosity; Empirical modelling; Chemistry; Petroleum engineering; Chemical engineering; Materials science; Organic chemistry; Geology; Composite material; Computer science; Engineering; Simulation","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":[0.0003157084,0.00008548163,0.0003010135,0.0001453433,0.00004558207,0.00004812047,0.0001021632,0.00005855936,0.00002830121],"category_scores_gemma":[0.0000192547,0.0000625189,0.00004722317,0.00006162078,0.00001437384,0.0001513751,0.0000235716,0.00005897598,0.000005277484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005046912,"about_ca_system_score_gemma":0.00002316932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005549721,"about_ca_topic_score_gemma":0.000006014209,"domain_scores_codex":[0.998995,0.00001137203,0.0006074673,0.00008271563,0.0001732434,0.000130209],"domain_scores_gemma":[0.999401,0.000009434572,0.0003120146,0.00009983384,0.0001156365,0.00006210601],"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":[0.00005404474,0.00003796065,0.00001428573,0.0001833285,0.00001167431,0.000004207267,0.0005057108,0.03130909,0.9592515,0.00001952535,0.000002538943,0.008606147],"study_design_scores_gemma":[0.0005365002,0.00002141938,0.000006917946,0.0003220343,0.00004462713,0.00005652639,0.0001610247,0.000767334,0.9969729,0.0006261936,0.00040641,0.00007810178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920208,0.000129341,0.006898018,0.0004205931,0.00003414266,0.000002634191,0.000009121412,0.000007409282,0.000477977],"genre_scores_gemma":[0.9977473,0.0002748355,0.001674237,0.0000225096,0.0001028203,0.000002894686,0.000005764713,0.000009253162,0.0001603703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03772143,"threshold_uncertainty_score":0.2549447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000779624324521,"score_gpt":0.2373260943478074,"score_spread":0.2273182981045622,"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."}}