{"id":"W1977333918","doi":"10.2118/2007-182","title":"Polymer Flood Technology For Heavy Oil Recovery","year":2007,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Petroleum engineering; Polymer; Environmental science; Computer science; Geology; Materials science","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":[0.0001331776,0.0001776701,0.0001301711,0.000217754,0.0001733062,0.0003171122,0.0002563137,0.000244646,0.002600033],"category_scores_gemma":[0.0001749349,0.0001164786,0.0001606584,0.0001853894,0.0002899045,0.0005730912,0.0004617744,0.0004030631,0.0004306579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004361294,"about_ca_system_score_gemma":0.0002734593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009143426,"about_ca_topic_score_gemma":0.001090612,"domain_scores_codex":[0.9999057,0.000009612838,0.0000028197,0.00001150084,0.00004955134,0.00002071881],"domain_scores_gemma":[0.9999348,0.00001828436,0.0000175523,0.000006862053,0.0000149756,0.000007495519],"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":[0.0001494601,0.00008999076,0.001244465,0.0003179172,0.00001024773,0.0002119054,0.00006840772,0.01208781,0.9212907,0.005460671,0.0007213841,0.05834709],"study_design_scores_gemma":[0.00002739212,0.0007772592,0.002444308,0.00002670537,0.00001847037,0.0002571111,0.00005042474,0.02579918,0.9498917,0.001966925,0.01871999,0.00002045261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8626145,0.004492187,0.1106231,0.000680189,0.0001142689,0.0001111989,0.000192227,0.0007050535,0.02046734],"genre_scores_gemma":[0.9830102,0.001229641,0.01121687,0.00003660106,0.00000935359,0.00002096129,0.00004466333,0.00001484066,0.004416917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9990857,"threshold_uncertainty_score":0.008697987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009881941976179516,"score_gpt":0.2294849364837122,"score_spread":0.2196029945075327,"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."}}