{"id":"W2066771820","doi":"10.1002/cjce.5450820403","title":"Understanding Water‐Based Bitumen Extraction from Athabasca Oil Sands","year":2004,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":476,"is_retracted":false,"has_abstract":true,"ca_institutions":"Syncrude (Canada); University of Alberta","funders":"","keywords":"Oil sands; Asphalt; Extraction (chemistry); Slurry; Environmental science; Aeration; Solvent extraction; Petroleum engineering; Waste management; Geology; Engineering; Materials science; Chemistry; Environmental engineering; Chromatography; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001618093,0.0003359343,0.0003192103,0.000669569,0.0003896267,0.000635402,0.0003772853,0.0003480469,0.001100254],"category_scores_gemma":[0.0002234641,0.0001234451,0.0001974253,0.0004721365,0.0002769827,0.0008701332,0.000335571,0.0003336931,0.0003183244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008301696,"about_ca_system_score_gemma":0.0007483577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02134566,"about_ca_topic_score_gemma":0.04098649,"domain_scores_codex":[0.9998761,0.00001264178,0.000005880858,0.0000197648,0.00005961804,0.00002601384],"domain_scores_gemma":[0.9999332,0.00002495462,0.00001558004,0.000003965798,0.00001722055,0.000005053314],"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":[0.0001181222,0.00003263096,0.003543684,0.0005842442,0.000024491,0.0004877294,0.0001879251,0.007219329,0.9501973,0.001313167,0.0001596,0.03613175],"study_design_scores_gemma":[0.00001148925,0.0001359774,0.01824049,0.00006906689,0.00005251235,0.0003694101,0.0006717804,0.01803718,0.9384457,0.002395628,0.02153768,0.00003304322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305056,0.01182658,0.0434553,0.0006743501,0.00001974032,0.0001129562,0.0007822054,0.0002035394,0.01241965],"genre_scores_gemma":[0.9756849,0.0076095,0.01126426,0.00009407654,0.000008552017,0.00003387964,0.0005030356,0.00002756839,0.004774185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9786543,"threshold_uncertainty_score":0.04244286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030806664798369,"score_gpt":0.199600544946919,"score_spread":0.1792924782989353,"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."}}