{"id":"W2792159377","doi":"10.1016/j.petrol.2018.03.004","title":"Efficiency of heavy-oil/bitumen recovery from fractured carbonates by hot-solvent injection","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Society of Petroleum Engineers","keywords":"Solvent; Heptane; Naphtha; Propane; Enhanced oil recovery; Saturation (graph theory); Asphalt; Chemistry; Oil sands; Outcrop; Asphaltene; Carbonate; Petroleum engineering; Geology; Materials science; Organic chemistry; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002701452,0.000330346,0.0002963569,0.0003115973,0.0002416813,0.0003220561,0.0003090733,0.0003018682,0.001748018],"category_scores_gemma":[0.000320484,0.00013043,0.0002792306,0.0002491627,0.0002463357,0.0003302828,0.0002274969,0.0003219162,0.0003599459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000295055,"about_ca_system_score_gemma":0.0003415832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002210699,"about_ca_topic_score_gemma":0.003382216,"domain_scores_codex":[0.9998041,0.00001362896,0.00001234675,0.00002457965,0.00007432605,0.00007099739],"domain_scores_gemma":[0.99988,0.00003171485,0.00002951678,0.00001078407,0.00003290813,0.0000150997],"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":[0.0006035989,0.00003621407,0.0005818752,0.00005348684,0.000007207624,0.0000368105,0.00003096848,0.0003066929,0.9942166,0.00004738577,0.00002448148,0.004054712],"study_design_scores_gemma":[0.000003115309,0.00007995702,0.0006139077,0.000001228662,0.000004921011,0.000008270587,0.000007474905,0.0005451828,0.9986503,0.000002405759,0.00008113874,0.000002237953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983644,0.0001988816,0.0007317135,0.00001064662,0.00000557119,0.000008276426,0.00005949839,0.00002939238,0.0005915826],"genre_scores_gemma":[0.9981673,0.0001281448,0.0006118163,0.000004912429,0.000001864172,0.000003603283,0.00005833333,0.0000108339,0.001013068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002210699,"threshold_uncertainty_score":0.005847752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003691173347593475,"score_gpt":0.2009004169365004,"score_spread":0.1972092435889069,"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."}}