{"id":"W2001364903","doi":"10.1016/j.fuel.2014.09.066","title":"Gasflooding-assisted cyclic solvent injection (GA-CSI) for enhancing heavy oil recovery","year":2014,"lang":"en","type":"article","venue":"Fuel","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Petroleum Technology Research Centre","keywords":"Solvent; Injector; Process (computing); Chemistry; Viscosity; Materials science; Pulp and paper industry; Chemical engineering; Petroleum engineering; Organic chemistry; Computer science; Composite material; Mechanical engineering","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":[0.00008734968,0.0002692141,0.0001537845,0.0002144908,0.0001448422,0.0002357952,0.0003095873,0.0002356226,0.0005837768],"category_scores_gemma":[0.0001438439,0.00009685903,0.0001482422,0.0003312755,0.0002848043,0.0004085596,0.0003317091,0.0003310409,0.0001919541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004105502,"about_ca_system_score_gemma":0.0004368684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002120186,"about_ca_topic_score_gemma":0.004552579,"domain_scores_codex":[0.9999425,0.000003915392,0.000002419894,0.00001423105,0.0000205387,0.00001639766],"domain_scores_gemma":[0.9999493,0.00001079056,0.00001637076,0.000005429838,0.00001242099,0.000005654157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006562225,0.00001403062,0.0001106375,0.00007304234,0.000003332929,0.00004506875,0.00002126314,0.0004604898,0.9918472,0.0005959851,0.0001399969,0.006623361],"study_design_scores_gemma":[0.000003623751,0.00003906685,0.0001531552,0.000002125443,0.000003636092,0.00003269329,0.000008625787,0.003695304,0.9948985,0.00003423553,0.001124833,0.000004192775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716691,0.001893592,0.02178144,0.0001315378,0.00007049653,0.0000228298,0.0001158373,0.0003001669,0.00401492],"genre_scores_gemma":[0.9898638,0.000594134,0.007529441,0.00002748506,0.000008667945,0.000006826418,0.0000441146,0.00001963366,0.001905928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002120186,"threshold_uncertainty_score":0.004215717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046833205502569,"score_gpt":0.2288873016766706,"score_spread":0.2184189696216449,"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."}}