{"id":"W2765610447","doi":"10.2118/186344-ms","title":"Screening of Chemicals for Low Cost Heavy Oil Recovery through Microemulsion Stability Tests","year":2017,"lang":"en","type":"article","venue":"","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Brine; Emulsion; Microemulsion; Pulmonary surfactant; Chemistry; Enhanced oil recovery; Polyacrylamide; Chromatography; Chemical engineering; Thermal stability; Organic chemistry; Polymer 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":[0.0005697984,0.0005508486,0.0005012815,0.0006691678,0.0002835488,0.0003444279,0.0004283338,0.0004739444,0.001852379],"category_scores_gemma":[0.0009889191,0.0001771386,0.0006406607,0.0004384537,0.0002215165,0.0003898552,0.0003806389,0.0003827884,0.0006994141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269533,"about_ca_system_score_gemma":0.0003830379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004993948,"about_ca_topic_score_gemma":0.001388078,"domain_scores_codex":[0.9994753,0.0001125329,0.00006166073,0.00009272717,0.0002119368,0.00004581498],"domain_scores_gemma":[0.9993533,0.0001735525,0.0001172125,0.00005483011,0.0002542488,0.00004679891],"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":[0.00007185894,0.0001035385,0.0001561345,0.0001210387,0.000009174772,0.00003925779,0.00001465219,0.0001178505,0.9964562,0.00001380683,0.00002670196,0.002869745],"study_design_scores_gemma":[0.000006418659,0.001005088,0.0005385097,0.000006896409,0.00002067626,0.00003926142,0.00001784844,0.0001426682,0.9975211,0.00000796005,0.0006887477,0.000004729393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749922,0.003475092,0.0158009,0.0002743502,0.00006652717,0.000819807,0.001320065,0.0003888122,0.002862198],"genre_scores_gemma":[0.9485826,0.004646545,0.03631714,0.0001497453,0.00004186162,0.0005304773,0.002086046,0.0001543165,0.007491303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001852379,"threshold_uncertainty_score":0.006196856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03315582885439434,"score_gpt":0.2941412017387477,"score_spread":0.2609853728843534,"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."}}