{"id":"W2592714292","doi":"","title":"Controls on Mass and Thermal Loading to an Oil Sands End Pit Lake from Underlying Fluid Fine Tailings","year":2017,"lang":"en","type":"dissertation","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Oil sands; Tailings; Geology; Petroleum engineering; Mining engineering; Geotechnical engineering; Thermal; Environmental science; Materials science; Metallurgy; Geography; Composite material; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001833192,0.0002238893,0.0001772133,0.0001076473,0.0003160661,0.0004484541,0.0002701972,0.0001349476,0.001172721],"category_scores_gemma":[0.0003434756,0.000118378,0.0001652667,0.000102623,0.0002769088,0.0002649222,0.0003447534,0.000252624,0.0001759562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004604413,"about_ca_system_score_gemma":0.0003746015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001743643,"about_ca_topic_score_gemma":0.003660253,"domain_scores_codex":[0.9998912,0.000009797451,0.000005532747,0.00002585357,0.00003898534,0.00002871032],"domain_scores_gemma":[0.9998772,0.00003534716,0.00003163553,0.000009918305,0.0000285503,0.00001735707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003662841,0.00009311646,0.005647048,0.0001262663,0.000007067971,0.00008910947,0.0002319277,0.003286141,0.9774898,0.0003350679,0.0001763784,0.01215182],"study_design_scores_gemma":[0.00004093701,0.001210316,0.02884832,0.00001219769,0.00002414804,0.00003544131,0.0003623518,0.02487546,0.9403081,0.0002073879,0.00405539,0.00001999524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968961,0.00004641115,0.001894693,0.00001837939,0.00000593703,0.00002939084,0.00005831436,0.00003751982,0.001013255],"genre_scores_gemma":[0.9971647,0.00006987536,0.001533485,0.00001021093,0.000002223764,0.00004372471,0.00005113273,0.000009883298,0.001114634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001743643,"threshold_uncertainty_score":0.003923118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008704940691943613,"score_gpt":0.1866445294231114,"score_spread":0.1779395887311678,"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."}}