{"id":"W2086636203","doi":"10.2118/2003-024","title":"Micro-Model Experiments and Network Modelling of Bubble Growth in Foamy Oil Flow","year":2003,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Bubble; Flow (mathematics); Data flow model; Computer science; Petroleum engineering; Mechanics; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001529836,0.0003451514,0.0002886334,0.0003275012,0.0002507821,0.0003730178,0.0005986471,0.0009349568,0.001877758],"category_scores_gemma":[0.0005945927,0.0002297147,0.0003754468,0.0002019844,0.0004582589,0.0003914327,0.0002675751,0.000366875,0.0001143769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008219238,"about_ca_system_score_gemma":0.0004662021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01984641,"about_ca_topic_score_gemma":0.007145707,"domain_scores_codex":[0.9999288,0.00001358892,0.000003701693,0.00001807034,0.00001779894,0.00001800156],"domain_scores_gemma":[0.9995692,0.0002779344,0.00005788119,0.00002181697,0.00004905529,0.00002405912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005002133,0.00004073583,0.0009096132,0.00003009682,0.000006796263,0.00007356692,0.00003755271,0.9815171,0.0149603,0.0009756095,0.00005748521,0.001341116],"study_design_scores_gemma":[0.000003315188,0.00001403013,0.0001336353,7.693308e-7,0.000001146455,0.000003130053,0.00000519102,0.9979905,0.001738967,0.00006592061,0.00004171175,0.000001744517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623295,0.0001403475,0.03278926,0.0001144144,0.00002130707,0.00005451288,0.0002921486,0.0002465243,0.004011907],"genre_scores_gemma":[0.9938282,0.00007725869,0.004855107,0.000006955524,0.000003359208,0.00003960734,0.00006901097,0.00001149056,0.001109066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01984641,"threshold_uncertainty_score":0.03946179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925045323468929,"score_gpt":0.2187348448226992,"score_spread":0.1994843915880099,"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."}}