{"id":"W2138685311","doi":"10.1002/aic.13736","title":"Optimal integration of nuclear energy and water management into the oil sands operations","year":2012,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Oil sands; Petroleum engineering; Oil production; Production (economics); Scheduling (production processes); Petroleum industry; Oil price; Environmental science; Unconventional oil; Fossil fuel; Engineering; Process engineering; Waste management; Operations management; Environmental engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004987422,0.0007633821,0.001048843,0.0004988318,0.0005824158,0.001737364,0.0007797182,0.001129926,0.003502621],"category_scores_gemma":[0.0009070227,0.0006781391,0.0007210771,0.0006156646,0.0006569261,0.00148179,0.0006914443,0.0008568105,0.0002659056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002547976,"about_ca_system_score_gemma":0.003184141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03078427,"about_ca_topic_score_gemma":0.02506753,"domain_scores_codex":[0.9997212,0.00007862549,0.000008202869,0.00004918747,0.00005657195,0.00008612825],"domain_scores_gemma":[0.999769,0.0001046495,0.00003559547,0.00001159276,0.00004379964,0.00003528897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002139804,0.00001086716,0.00009533892,0.000004277898,0.000002898054,0.00001212627,0.000002647265,0.9983834,0.0002192932,0.0005579456,0.00005023002,0.0006395773],"study_design_scores_gemma":[0.00001539276,0.00003458273,0.0001317965,0.00000265835,0.000006811127,0.000003247364,0.00001618765,0.9982961,0.0004531766,0.0008559696,0.0001787356,0.000005329952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6459596,0.0004205213,0.3111342,0.0008396293,0.00009911141,0.0002928845,0.001128965,0.0003797289,0.03974543],"genre_scores_gemma":[0.9855846,0.0001027039,0.009645076,0.00002869809,0.000006751832,0.00008613144,0.000135921,0.00002728602,0.004382888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03078427,"threshold_uncertainty_score":0.06121022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007449672173914101,"score_gpt":0.2285310590848759,"score_spread":0.2210813869109618,"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."}}