{"id":"W2317263097","doi":"10.1021/ef1012819","title":"Improving Oil Sands Processability Using a Temperature-Sensitive Polymer","year":2011,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Asphalt; Oil sands; Tailings; Settling; Slurry; Polymer; Asphaltene; Extraction (chemistry); Materials science; Composite material; Chemistry; Metallurgy; Chromatography; Environmental science; Environmental engineering; 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":[0.0001149145,0.0002333017,0.0002240886,0.00009043972,0.00006476777,0.00002950264,0.0001378781,0.000177369,0.00009366922],"category_scores_gemma":[0.00003319552,0.0002306261,0.00008140627,0.0002222982,0.00005396059,0.0003028457,0.00004566432,0.0001908195,0.000004143681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001217107,"about_ca_system_score_gemma":0.00003864189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003775094,"about_ca_topic_score_gemma":0.00008082914,"domain_scores_codex":[0.9989837,0.000029275,0.0002269231,0.0002796184,0.0001397563,0.0003407262],"domain_scores_gemma":[0.9994637,0.00003142064,0.00004336827,0.0003055892,0.0000701439,0.00008581867],"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":[0.00001512644,0.00002373108,0.0001076814,0.00007606445,0.00003232413,0.00001220177,0.0003745367,0.00003181964,0.9688172,0.0003347522,0.00005288318,0.03012171],"study_design_scores_gemma":[0.00009668856,0.00002926097,0.0001442074,0.00005443523,0.00001506034,0.00001260434,0.00004163257,0.0009710803,0.9978114,0.0003736724,0.0001740655,0.0002758696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472309,0.0006674204,0.00762998,0.000003142678,0.0002758546,0.0000292434,0.00000907697,0.0009701123,0.04318422],"genre_scores_gemma":[0.9926701,0.00005050255,0.006415918,0.00007843162,0.0001321388,0.0000280377,0.000004862389,0.0000665027,0.0005535615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04543909,"threshold_uncertainty_score":0.9404661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116470531853165,"score_gpt":0.2083986462231762,"score_spread":0.1967515930378597,"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."}}