{"id":"W4379521651","doi":"10.2118/213166-ms","title":"Electro-Acoustic Solvent-Based Method for Enhancing Heavy Oil Recovery","year":2023,"lang":"en","type":"article","venue":"SPE Latin American and Caribbean Petroleum Engineering Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Mechanics; Materials science; Acoustics; Poromechanics; Porous medium; Physics; Porosity; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00008135042,0.0001834351,0.0001606518,0.0001502983,0.00009200416,0.0001230544,0.0002590248,0.0001511555,0.0006421219],"category_scores_gemma":[0.00008576749,0.0001056526,0.0001523922,0.0001311541,0.0001640712,0.0002782375,0.0002680411,0.0001299086,0.0001898624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001472167,"about_ca_system_score_gemma":0.0001249952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002639047,"about_ca_topic_score_gemma":0.0005747949,"domain_scores_codex":[0.9999481,0.00000602159,0.000002451837,0.000008965061,0.00002866872,0.000005619691],"domain_scores_gemma":[0.9999684,0.000009298014,0.000008397308,0.000003479713,0.000008050076,0.000002336369],"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":[0.00003382019,0.00001868142,0.00008550844,0.00006427224,0.000003044343,0.00002847234,0.00001286525,0.002760843,0.9845511,0.00056214,0.00005999883,0.01181923],"study_design_scores_gemma":[0.00001990117,0.0002123583,0.0004680827,0.000006923766,0.00001340038,0.00007882017,0.00001458211,0.1506016,0.8451737,0.0002132553,0.003183469,0.00001380157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6713321,0.001443288,0.3212603,0.0001739045,0.00008841458,0.00007237138,0.0000581952,0.000432377,0.005139055],"genre_scores_gemma":[0.9325441,0.0004353172,0.06399187,0.00003557558,0.00001445159,0.00003318613,0.00002178285,0.00001541912,0.002908342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006421219,"threshold_uncertainty_score":0.002148092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008138577471278196,"score_gpt":0.229771684464342,"score_spread":0.2216331069930638,"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."}}