{"id":"W2586861767","doi":"10.2118/184981-ms","title":"In-Situ Catalytic Aquathermolysis Combined with Geomechanical Dilation to Enhance Thermal Heavy-Oil Production","year":2017,"lang":"en","type":"article","venue":"SPE Canada Heavy Oil Technical Conference","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; BitCan (Canada)","funders":"Xinjiang Oilfield Company","keywords":"Petroleum engineering; Steam injection; Oil field; Porosity; Geology; Permeability (electromagnetism); Oil shale; Geomechanics; Oil production; Oil sands; Geotechnical engineering; Materials science; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002335804,0.0002672512,0.0004098272,0.0001276413,0.0002057845,0.0001246182,0.0005341353,0.0001314993,0.00007359943],"category_scores_gemma":[0.0001663238,0.0002357596,0.00005558908,0.0003503321,0.00008535877,0.0003170209,0.00007875278,0.0003930955,0.00002658185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004098079,"about_ca_system_score_gemma":0.0003855157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04947787,"about_ca_topic_score_gemma":0.8123155,"domain_scores_codex":[0.9981472,0.00003915423,0.0003969623,0.0004780586,0.0005154843,0.0004231698],"domain_scores_gemma":[0.9985193,0.00003132939,0.00008833552,0.0009678363,0.0001273074,0.0002658968],"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":[0.001559875,0.0005184655,0.001008634,0.0007028179,0.0004454203,0.000526948,0.0007350591,0.1170729,0.6757157,0.003380518,0.007106279,0.1912274],"study_design_scores_gemma":[0.001729321,0.0006481605,0.01054126,0.0008862442,0.0002587193,0.00004783379,0.0002590753,0.1005063,0.8740211,0.0009491884,0.007263449,0.002889432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631212,0.00006805274,0.00495766,0.01765145,0.0004384176,0.0002208576,0.00001306282,0.0003169593,0.01321234],"genre_scores_gemma":[0.9981399,0.00006689485,0.0003457015,0.0001651828,0.00008893523,0.00008862,0.00002037304,0.00003596278,0.001048407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7628376,"threshold_uncertainty_score":0.9613997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336878805527784,"score_gpt":0.237069756531856,"score_spread":0.2237009684765782,"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."}}