{"id":"W2054449620","doi":"10.2118/169543-ms","title":"Evaluation of Four Thermal Recovery Methods for Bitumen Extraction","year":2014,"lang":"en","type":"article","venue":"","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Texas A and M University","keywords":"Asphalt; Petroleum engineering; Environmental science; Extraction (chemistry); Steam injection; Thermal; Oil in place; Enhanced oil recovery; Waste management; Steam-assisted gravity drainage; Oil sands; Geology; Materials science; Engineering; Petroleum; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004967135,0.0006237173,0.0004696849,0.0008323986,0.0004467012,0.0004849526,0.0005768336,0.0002997098,0.001127627],"category_scores_gemma":[0.0007582779,0.0001876276,0.0005165103,0.0006407299,0.0003924445,0.000449111,0.000411509,0.0004480614,0.0002414341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007500273,"about_ca_system_score_gemma":0.000592276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418389,"about_ca_topic_score_gemma":0.03277647,"domain_scores_codex":[0.9996283,0.00002813033,0.00002529795,0.00004890353,0.0002130702,0.00005629792],"domain_scores_gemma":[0.9996758,0.00006777833,0.00005551354,0.00003033721,0.0001431351,0.00002751093],"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":[0.0003086856,0.00009791758,0.001557037,0.0002737425,0.00002900955,0.00006531569,0.00007676842,0.002681467,0.9800487,0.00008273608,0.00007106604,0.01470761],"study_design_scores_gemma":[0.0000135817,0.0005847643,0.00563792,0.00001098231,0.0000526981,0.00005472503,0.00009549176,0.005004511,0.9871149,0.00002075306,0.00138552,0.00002429377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923299,0.0009384152,0.005120816,0.00004601415,0.00002073431,0.0001043312,0.0002462508,0.0001091415,0.001084527],"genre_scores_gemma":[0.9848445,0.001208177,0.01159601,0.00002358947,0.000008901685,0.00006277556,0.0003041425,0.00004955151,0.001902299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01418389,"threshold_uncertainty_score":0.02820265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05984567123270468,"score_gpt":0.3586975673762006,"score_spread":0.2988518961434959,"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."}}