{"id":"W2090770631","doi":"10.1007/s11053-006-9017-2","title":"Optimization of SAGD Well Elevation","year":2006,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"","keywords":"Elevation (ballistics); Oil sands; Asphalt; Steam-assisted gravity drainage; Petroleum engineering; Mineral resource classification; Geology; Environmental science; Mining engineering; Engineering; Geography; Geochemistry","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":[0.0005579705,0.0006024773,0.0009373857,0.0006158263,0.0003226047,0.0009752032,0.0005109705,0.0009972322,0.00282743],"category_scores_gemma":[0.001742076,0.0005565499,0.0005155735,0.0006749903,0.0004223549,0.0007185377,0.0006998309,0.000478233,0.0003319517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009256719,"about_ca_system_score_gemma":0.0009342551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003612198,"about_ca_topic_score_gemma":0.004600735,"domain_scores_codex":[0.9998405,0.00005766167,0.000006370453,0.00002224618,0.00003284194,0.0000403453],"domain_scores_gemma":[0.9996769,0.0001554796,0.00003594559,0.00002492092,0.000069082,0.00003759514],"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":[0.00003433399,0.00001539021,0.0002816992,0.00001277107,0.000006329352,0.00001847794,0.000007445874,0.993077,0.0007800989,0.0009079289,0.000163555,0.004694996],"study_design_scores_gemma":[0.000008667358,0.00002260025,0.000153427,0.000002212643,0.000004243316,0.000004831068,0.00001038819,0.998667,0.000366396,0.0005484952,0.000209266,0.00000248643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3747652,0.0006219607,0.5971467,0.0006421532,0.00009530489,0.0001111858,0.0002811695,0.0007792952,0.02555702],"genre_scores_gemma":[0.9716968,0.0001147391,0.02597741,0.00002916263,0.00000938183,0.00003244499,0.00006541992,0.00006535531,0.002009331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003612198,"threshold_uncertainty_score":0.009458721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695103442254555,"score_gpt":0.3301072327462016,"score_spread":0.303156198323656,"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."}}