{"id":"W2287751119","doi":"10.2118/170161-pa","title":"Heavy-Oil Recovery by Combined Hot Water and Alkali/Cosolvent/Polymer Flooding","year":2015,"lang":"en","type":"article","venue":"SPE Journal","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shell Canada","keywords":"Petroleum engineering; Enhanced oil recovery; Oil shale; Surface tension; Alkali metal; Oil field; Viscosity; Polymer; Baffle; Water cut; Water flooding; Environmental science; Materials science; Chemical engineering; Geology; Chemistry; Waste management; Engineering; Composite material; Thermodynamics; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003576398,0.0001879415,0.0002247666,0.0001105134,0.00007050694,0.0001545067,0.0001360707,0.0001062674,0.0001137314],"category_scores_gemma":[0.0000220234,0.0001527935,0.00006869926,0.0000663951,0.00002986571,0.0004489633,0.00004603981,0.0004059971,0.00005155094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001399912,"about_ca_system_score_gemma":0.00001874677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001004519,"about_ca_topic_score_gemma":0.00000568476,"domain_scores_codex":[0.9989359,0.00003232427,0.0002828015,0.0001320406,0.0002304557,0.0003865282],"domain_scores_gemma":[0.9994892,0.00002195977,0.0000391124,0.000143456,0.00004798769,0.0002582269],"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":[0.0003659429,0.0001121516,0.0007092491,0.0001314327,0.0003264624,0.000159798,0.001005474,0.001153823,0.5331449,0.0001096623,0.3842589,0.07852224],"study_design_scores_gemma":[0.0009090307,0.0002576681,0.00002919066,0.00014047,0.00002875217,0.0003851874,0.00007740333,0.001116368,0.9673778,0.002606369,0.02668778,0.0003839528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665987,0.00523525,0.00668116,0.0004466272,0.001722179,0.00006283714,0.00001525548,0.0004661426,0.01877178],"genre_scores_gemma":[0.9846331,0.003601553,0.005729369,0.0003178219,0.000600078,0.00001142446,0.00002061651,0.0001381231,0.004947872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4342329,"threshold_uncertainty_score":0.6230739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199128657159406,"score_gpt":0.2184622596341002,"score_spread":0.2064709730625062,"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."}}