{"id":"W2986238100","doi":"10.1016/j.fuel.2019.116602","title":"Experimental analysis of optimal viscosity for optimizing foamy oil behavior in the porous media","year":2019,"lang":"en","type":"article","venue":"Fuel","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Viscosity; Gas oil ratio; Petroleum engineering; Oil production; Enhanced oil recovery; Oil viscosity; Materials science; Porous medium; Light crude oil; Oil in place; Chemistry; Porosity; Petroleum; Composite material; Geology; Organic chemistry","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":[0.0001537575,0.0001011805,0.0002274455,0.0001664976,0.00001076774,0.00001308306,0.0002004441,0.00006246402,0.00006741581],"category_scores_gemma":[0.00001158861,0.00008695859,0.0001254453,0.0002812564,0.00001489442,0.0001068154,0.0000242602,0.00008593818,0.000003401911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006108397,"about_ca_system_score_gemma":0.000005939985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003419343,"about_ca_topic_score_gemma":0.00003521482,"domain_scores_codex":[0.9993877,0.00001385457,0.0001878447,0.0001238269,0.0001259619,0.0001607643],"domain_scores_gemma":[0.9995857,0.000114264,0.00003331593,0.0002323985,0.00001631661,0.00001802552],"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":[0.0001694691,0.0007201568,0.019105,0.0004383403,0.0008273227,0.00002416803,0.01516025,0.1788166,0.764357,0.0007804452,0.0009364442,0.01866486],"study_design_scores_gemma":[0.001009615,0.0002963676,0.03428558,0.00006808389,0.0006153716,0.000005012066,0.002258858,0.07378984,0.8866073,0.00004365512,0.0004345108,0.0005858197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935247,0.0004082754,0.00293142,0.000004574038,0.0001124745,0.0001421715,0.00003511603,0.00009440328,0.002746849],"genre_scores_gemma":[0.9787933,0.00002799738,0.02084213,0.00001572847,0.00001700641,0.0002257664,0.00002819164,0.00001835223,0.0000315337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1222503,"threshold_uncertainty_score":0.3546069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227687808736503,"score_gpt":0.2597041560969783,"score_spread":0.2474272780096133,"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."}}