{"id":"W2904149136","doi":"10.2118/193642-ms","title":"Microemulsion Flooding of Heavy Oil Using Biodiesel Under Cold Conditions","year":2018,"lang":"en","type":"article","venue":"SPE International Heavy Oil Conference and Exhibition","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biodiesel; Emulsion; Materials science; Chemical engineering; Pulp and paper industry; Petroleum engineering; Waste management; Environmental science; Chemistry; Organic chemistry","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":[0.0001299755,0.0002941924,0.0002139646,0.0001428584,0.0001156203,0.0001461626,0.0001838571,0.0001670187,0.0006569452],"category_scores_gemma":[0.0001611006,0.0001025151,0.0001916686,0.0001191452,0.0001622091,0.0002595239,0.0002510312,0.0003199092,0.000178856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001694374,"about_ca_system_score_gemma":0.0001614873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008567378,"about_ca_topic_score_gemma":0.001251823,"domain_scores_codex":[0.9999326,0.000006084527,0.000005727338,0.00001792876,0.00002191825,0.00001570113],"domain_scores_gemma":[0.999917,0.0000209568,0.00002788578,0.00000608986,0.00001722551,0.00001074625],"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":[0.00002127369,0.000005918413,0.00002988609,0.00001987856,0.000001077642,0.0000190846,0.00001579329,0.00003902898,0.9993451,0.00001624333,0.000008132511,0.0004784898],"study_design_scores_gemma":[0.000003674949,0.00009218582,0.0002338334,0.000001774879,0.000002561848,0.00001364856,0.000007704651,0.000511487,0.9988611,0.000006107996,0.0002639548,0.000001945421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948328,0.000364484,0.003850835,0.00002922391,0.0000137695,0.00003607955,0.00008337669,0.00007628257,0.0007131621],"genre_scores_gemma":[0.9933547,0.0003579053,0.004503456,0.00001912059,0.000007507846,0.00003314412,0.0001235062,0.00003185239,0.001568857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008567378,"threshold_uncertainty_score":0.002197683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962561141525607,"score_gpt":0.2856915094737922,"score_spread":0.2560658980585362,"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."}}