{"id":"W2938056414","doi":"10.2118/195474-ms","title":"Enhanced Recovery of Heavy Oil by a Nano-Catalytic In-Situ Upgrading Process","year":2019,"lang":"en","type":"article","venue":"SPE Europec featured at 81st EAGE Conference and Exhibition","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología; Energi Simulation","keywords":"Naphtha; Catalysis; Hydrogen; Enhanced oil recovery; Chemical engineering; Carbonate; Oil sands; Materials science; Chemistry; Composite material; Metallurgy; Organic chemistry; Asphalt","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001491337,0.0002629414,0.0003632621,0.000166664,0.00003322532,0.00005100189,0.0001498894,0.0001572812,0.0001049416],"category_scores_gemma":[0.00004166777,0.0002717199,0.00005764273,0.0002995942,0.00004633554,0.000468284,0.00005070699,0.0002761215,0.00007494161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303017,"about_ca_system_score_gemma":0.00002648331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000964131,"about_ca_topic_score_gemma":0.00004663385,"domain_scores_codex":[0.9987433,0.00003911963,0.0003308993,0.0003817423,0.0001883746,0.0003165806],"domain_scores_gemma":[0.999459,0.0000530041,0.00007312123,0.0002702126,0.00007583149,0.000068857],"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":[0.00008141924,0.00002989663,0.0001131388,0.000495552,0.00001402327,0.000006582904,0.0003441338,0.000134385,0.9873644,0.00007547314,0.000634767,0.01070625],"study_design_scores_gemma":[0.0004851732,0.0001531769,0.0005583368,0.0008724312,0.00001143298,0.00001121942,0.00006727705,0.0003986969,0.996311,0.0003310172,0.0004714043,0.0003288182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245425,0.0006331318,0.001038486,0.000037134,0.000235325,0.0001865313,0.00003409933,0.0002266688,0.07306613],"genre_scores_gemma":[0.9948317,0.002012233,0.0002496462,0.00004334742,0.00003809058,0.00002293186,0.0001180288,0.00004999923,0.002634051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07043208,"threshold_uncertainty_score":0.9999735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007669388901553722,"score_gpt":0.212308928941011,"score_spread":0.2046395400394573,"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."}}