{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003466281,0.0005002112,0.0006163354,0.0004245694,0.0004563298,0.0007719252,0.0007209033,0.00150499,0.001605175],"category_scores_gemma":[0.001664557,0.0004754738,0.0006383778,0.0003929289,0.0005814254,0.0009011736,0.0006918975,0.0005970909,0.0002395886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006204906,"about_ca_system_score_gemma":0.0005978377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008439951,"about_ca_topic_score_gemma":0.003205613,"domain_scores_codex":[0.999927,0.00002106742,0.000005666511,0.00001183798,0.00002152562,0.0000127125],"domain_scores_gemma":[0.9996589,0.0001790114,0.00004300315,0.00002789274,0.00005990381,0.0000312481],"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":[0.00002694014,0.00002317347,0.0002492505,0.00002689285,0.000006073372,0.00006333526,0.0000235826,0.9890627,0.004837317,0.003917117,0.00009143983,0.001672183],"study_design_scores_gemma":[0.000006079269,0.000006741393,0.00003756026,0.000001241647,0.0000013665,0.000005866298,0.000004434335,0.9980982,0.0009840667,0.000719046,0.0001333873,0.000002118455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6209786,0.001251814,0.3561873,0.0006737174,0.0001803721,0.0002669224,0.0005132105,0.0005788534,0.01936916],"genre_scores_gemma":[0.9685228,0.0005030014,0.02470497,0.00003811747,0.00002431583,0.00009058964,0.000166335,0.000117978,0.005831883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008439951,"threshold_uncertainty_score":0.01678169,"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."}}