{"id":"W4232395747","doi":"10.20431/2454-7980.0504002","title":"Enhanced Oil Recovery","year":2019,"lang":"en","type":"article","venue":"International Journal of Petroleum and Petrochemical Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Petroleum engineering; Materials science; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002862757,0.0005743615,0.0004456702,0.0006555745,0.0002149763,0.0004432334,0.0005862737,0.0005568677,0.006399559],"category_scores_gemma":[0.0004911122,0.0002342149,0.0004571363,0.0006476297,0.0002704309,0.00118308,0.0008315968,0.001064364,0.003149774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003764975,"about_ca_system_score_gemma":0.0002954468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005745058,"about_ca_topic_score_gemma":0.001151798,"domain_scores_codex":[0.9994771,0.00003163478,0.00002325732,0.0001002906,0.0002614701,0.000106233],"domain_scores_gemma":[0.9998312,0.00002582577,0.00003867107,0.00002844818,0.00006605197,0.000009903105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001310271,0.00007861362,0.0002460566,0.0007090599,0.00003041736,0.0002313114,0.00004905188,0.001047678,0.94607,0.002147805,0.002034704,0.04722418],"study_design_scores_gemma":[0.00001359964,0.0001025377,0.0004287654,0.00003203567,0.00001679959,0.0002730919,0.00001987818,0.001929132,0.9724941,0.0002721632,0.02440143,0.00001639869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5547181,0.02046485,0.3319139,0.001080638,0.0006276887,0.000657363,0.003068169,0.004661124,0.08280819],"genre_scores_gemma":[0.8724993,0.008760703,0.06117723,0.0007044646,0.00007079993,0.0002116386,0.001587759,0.0003491664,0.054639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006399559,"threshold_uncertainty_score":0.02140868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002210986993346585,"score_gpt":0.1895512835004684,"score_spread":0.1873402965071218,"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."}}