{"id":"W2618823165","doi":"10.1007/s41660-017-0007-0","title":"Energy, Water, Cost, and Greenhouse Gas Implications of Steam-Assisted Gravity Drainage Surface Facility Technologies","year":2017,"lang":"en","type":"article","venue":"Process Integration and Optimization for Sustainability","topic":"Process Optimization and Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Process Research Ortech (Canada); University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Environmental science; Drainage; Greenhouse; Environmental engineering; Waste management; Engineering; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003566969,0.0002439357,0.0002960899,0.0001175931,0.0006129839,0.0002200939,0.0002451596,0.0002091862,0.00001369006],"category_scores_gemma":[0.0008189367,0.0002009211,0.00005283205,0.000132337,0.0004073403,0.000878347,0.00006428736,0.0001261424,1.855317e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369107,"about_ca_system_score_gemma":0.00006332126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005802517,"about_ca_topic_score_gemma":0.0001435962,"domain_scores_codex":[0.9987587,0.00003178764,0.0004632737,0.0003732178,0.000122911,0.000250085],"domain_scores_gemma":[0.9977422,0.00005410394,0.0001796314,0.0004831134,0.001467093,0.00007383578],"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":[0.0003018295,0.0004501825,0.0070805,0.003042829,0.0001025864,5.081981e-7,0.002688185,0.4784807,0.001790309,0.04006023,0.0002379303,0.4657643],"study_design_scores_gemma":[0.0008278091,0.0001099205,0.0009753649,0.00003236353,0.00004607105,0.000003767447,0.002896679,0.9216682,0.03286763,0.03968093,0.0005360735,0.0003551853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05608707,0.0002240239,0.9398674,0.001454705,0.00006575479,0.0009727888,0.0001621744,0.0005219685,0.0006440904],"genre_scores_gemma":[0.9933504,0.0004367399,0.005550983,0.00001592319,0.000006873646,0.0002560506,0.0002683704,0.00002009464,0.00009453009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9372634,"threshold_uncertainty_score":0.8193324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448518277852868,"score_gpt":0.272442800682008,"score_spread":0.2579576179034793,"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."}}