{"id":"W2574726699","doi":"10.1016/j.petrol.2017.01.029","title":"Characterization of gas-oil flow in Cyclic Solvent Injection (CSI) for heavy oil recovery","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Petroleum Technology Research Centre","keywords":"Gas oil ratio; Solvent; Petroleum engineering; Chemistry; Wet gas; Fossil fuel; Light crude oil; Flow (mathematics); Geology; Organic chemistry; Mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007902342,0.0001027856,0.0002165067,0.0004338814,0.00007625434,0.00009469143,0.0002338972,0.00005239845,0.000001379292],"category_scores_gemma":[0.0002508947,0.0001018371,0.00005482246,0.0001310479,0.00004658566,0.001238031,0.00002707384,0.0001491645,2.214142e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001701547,"about_ca_system_score_gemma":0.00004586783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006196862,"about_ca_topic_score_gemma":0.000008287555,"domain_scores_codex":[0.9991063,0.000003474079,0.0003488797,0.00009857057,0.0002330997,0.0002097139],"domain_scores_gemma":[0.9994658,0.00002794591,0.0001775183,0.0001476045,0.000116826,0.00006426627],"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":[0.00001910469,0.00001046599,0.000266986,0.0001412014,0.000006895244,0.00000172699,0.00006954898,0.07563782,0.8670644,0.00001466227,0.000007313706,0.05675987],"study_design_scores_gemma":[0.0005601222,0.0003609706,0.02016774,0.0008615524,0.00001587631,0.00006783289,0.00003045221,0.4667944,0.5099639,0.0000935962,0.0008372388,0.0002463426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689904,0.00009336468,0.02986961,0.00004603176,0.0007255793,0.00001693349,0.000004076644,0.00002902823,0.0002249773],"genre_scores_gemma":[0.9936653,0.001107986,0.005043685,0.000005473849,0.0001254324,0.000006871599,6.325798e-7,0.00001587236,0.00002872906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3911566,"threshold_uncertainty_score":0.4152797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008537980923131315,"score_gpt":0.2262020905228541,"score_spread":0.2176641095997227,"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."}}