{"id":"W2410706524","doi":"10.1021/acs.energyfuels.5b01960","title":"Role of Ethyl Cellulose in Bitumen Extraction from Oil Sands Ores Using an Aqueous–Nonaqueous Hybrid Process","year":2015,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Devon Energy (Canada); Natural Resources Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Oil sands; Asphalt; Diluent; Extraction (chemistry); Solvent; Chemistry; Aqueous solution; Chemical engineering; Pulp and paper industry; Cellulose; Chromatography; Materials science; Organic chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001523763,0.0002071639,0.0002761048,0.0001984596,0.00001715452,0.00002781372,0.0001962373,0.000138305,0.0000404956],"category_scores_gemma":[0.00003189839,0.0002266035,0.00004510659,0.0002040329,0.00003037182,0.0004945692,0.00002721038,0.000183123,0.000003138378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000184382,"about_ca_system_score_gemma":0.00006885991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002323794,"about_ca_topic_score_gemma":0.0006888732,"domain_scores_codex":[0.9988591,0.00005126178,0.0003381901,0.0002520992,0.0002380759,0.000261291],"domain_scores_gemma":[0.999395,0.00005055698,0.00008576365,0.0002808597,0.00007383253,0.0001140265],"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":[0.000036041,0.00009322591,0.0003003789,0.00003796893,0.00002214066,0.00002773224,0.0005724404,0.03634691,0.8746146,0.0000483758,0.00004888721,0.08785131],"study_design_scores_gemma":[0.0002379922,0.0000648885,0.0001140465,0.00009213438,0.00001124132,0.000009325484,0.0001266756,0.01725722,0.9734269,0.007369901,0.001047063,0.000242575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856372,0.001838326,0.004484143,0.000003072385,0.0001673726,0.0000324521,0.00001638153,0.0003891232,0.007431924],"genre_scores_gemma":[0.9951532,0.0002093469,0.004236223,0.00001534667,0.0001307194,0.00003036257,0.00004383572,0.00006882373,0.0001120761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09881235,"threshold_uncertainty_score":0.9240622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144786337124446,"score_gpt":0.2534382936615045,"score_spread":0.2389596599490599,"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."}}