{"id":"W4240764292","doi":"10.2118/2007-134","title":"Potential For Alkali-Surfactant Flooding In Heavy Oil Reservoirs Through Oil-in-Water Emulsification","year":2007,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Water flooding; Pulmonary surfactant; Petroleum engineering; Alkali metal; Flooding (psychology); Environmental science; Geology; Chemical engineering; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003572761,0.0001795735,0.0001747586,0.000490435,0.00004279356,0.00008899297,0.0003952731,0.0001445718,0.0001546087],"category_scores_gemma":[0.00007420336,0.0001975687,0.00005710654,0.0001173888,0.00003362112,0.0003998251,0.00002049819,0.0002561715,0.000026895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165906,"about_ca_system_score_gemma":0.000116963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01960807,"about_ca_topic_score_gemma":0.3826525,"domain_scores_codex":[0.9985183,0.00001489395,0.0004160179,0.0002854005,0.0002054732,0.0005598491],"domain_scores_gemma":[0.9994391,0.00006041194,0.00003465853,0.0001926607,0.0001334719,0.000139671],"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":[0.000684582,0.0002087958,0.01926413,0.0006548706,0.0003143268,0.0006967772,0.005692935,0.454238,0.3716519,0.06739027,0.004822451,0.07438099],"study_design_scores_gemma":[0.003060506,0.0001456742,0.02780207,0.001074491,0.00002494963,0.00005765255,0.001017456,0.4671583,0.3442534,0.01416396,0.1392311,0.002010447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9392784,0.00006202092,0.01544024,0.0007715127,0.0009462507,0.00005880149,0.00008257903,0.0001184207,0.04324183],"genre_scores_gemma":[0.9954437,0.0001471666,0.002847793,0.0001096164,0.0001126234,0.0000728556,0.0001337383,0.00003668048,0.001095816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3630444,"threshold_uncertainty_score":0.9869205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752551902880296,"score_gpt":0.2517107698718158,"score_spread":0.2341852508430129,"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."}}