{"id":"W2799758264","doi":"10.1021/acs.energyfuels.8b00688","title":"Biodiesel-Assisted Ambient Aqueous Bitumen Extraction (BA<sup>3</sup>BE) from Athabasca Oil Sands","year":2018,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Oil sands; Tailings; Asphalt; Extraction (chemistry); Environmental science; Settling; Aqueous solution; Waste management; Pulp and paper industry; Diesel fuel; Unconventional oil; Materials science; Fossil fuel; Chemistry; Environmental engineering; Metallurgy; Chromatography; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001138712,0.0003474478,0.0002186361,0.0002798708,0.000293419,0.0002917628,0.0001658676,0.0002410045,0.0009228143],"category_scores_gemma":[0.0001346609,0.00008125157,0.0002148847,0.0003135319,0.0002307193,0.0003482297,0.0002912229,0.0004086311,0.0004614809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002624106,"about_ca_system_score_gemma":0.000318787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002172484,"about_ca_topic_score_gemma":0.008718861,"domain_scores_codex":[0.9999005,0.000006502558,0.000005228306,0.00001581637,0.00005294375,0.00001908964],"domain_scores_gemma":[0.999939,0.00001035311,0.00001487892,0.000004660151,0.00002134655,0.000009786339],"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":[0.00005730304,0.000008225596,0.0002302572,0.0001139531,0.000004993388,0.0001550941,0.00002455585,0.0002642646,0.9923995,0.0001938585,0.0001105208,0.006437602],"study_design_scores_gemma":[0.000003960467,0.00005074626,0.001085443,0.000008512525,0.000008409435,0.0001346478,0.00004020072,0.0008664156,0.9938461,0.00006607283,0.003881889,0.000007682157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591969,0.002421465,0.02913774,0.0002154912,0.00006842986,0.00009359955,0.0006046198,0.0003548807,0.007906887],"genre_scores_gemma":[0.9747425,0.001413671,0.0166607,0.00009336747,0.000008580175,0.00003875224,0.0004151047,0.0000694234,0.006557839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9978275,"threshold_uncertainty_score":0.004319668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410541897861242,"score_gpt":0.2430148757537044,"score_spread":0.2289094567750919,"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."}}