{"id":"W2736665016","doi":"10.1007/s10665-017-9914-x","title":"Primary cementing of oil and gas wells in turbulent and mixed regimes","year":2017,"lang":"en","type":"article","venue":"Journal of Engineering Mathematics","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Turbulence; Mechanics; Streamlines, streaklines, and pathlines; Advection; Laminar flow; K-epsilon turbulence model; Physics; Pressure gradient; Scaling; Inviscid flow; Fluid dynamics; Geology; Geometry; Mathematics; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004062401,0.0001402808,0.0003567629,0.0001707334,0.00002524205,0.00005225466,0.0001398535,0.00005525346,0.000001617436],"category_scores_gemma":[0.0001259952,0.0001326523,0.00004346121,0.00003740438,0.00002369484,0.0001682487,0.00003943509,0.0001942545,3.471361e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002821575,"about_ca_system_score_gemma":0.000007229583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001776811,"about_ca_topic_score_gemma":2.655065e-7,"domain_scores_codex":[0.9991629,0.00000324315,0.0004680583,0.00005959787,0.0001432001,0.0001630197],"domain_scores_gemma":[0.9994464,0.00009383494,0.0001814263,0.000178545,0.00003292376,0.00006687158],"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":[0.000008880265,0.0000821463,0.001080941,0.008498033,0.0002513758,0.0001061105,0.002198874,0.9273082,0.03871007,0.001108496,0.0002303922,0.02041649],"study_design_scores_gemma":[0.001511358,0.00009080506,0.005671373,0.004904148,0.0001108885,0.0004672094,0.0001811861,0.9627056,0.02093832,0.0006368191,0.002269844,0.0005125011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987341,0.002057399,0.00916156,0.00007222736,0.0002898666,0.00002500946,9.664421e-7,0.00003252929,0.001019446],"genre_scores_gemma":[0.9610549,0.002329135,0.0364154,0.000002728033,0.00008591838,0.00000106044,2.606174e-7,0.0000422735,0.00006831237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03539735,"threshold_uncertainty_score":0.5409405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008857494635398281,"score_gpt":0.1939255023221398,"score_spread":0.1850680076867416,"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."}}