{"id":"W2898510794","doi":"10.1007/s10665-018-9975-5","title":"A model for foamed cementing of oil and gas wells","year":2018,"lang":"en","type":"article","venue":"Journal of Engineering Mathematics","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Annulus (botany); Rheology; Buoyancy; Slurry; Materials science; Porosity; Eccentricity (behavior); Drilling fluid; Geotechnical engineering; Porous medium; Mechanics; Lost circulation; Petroleum engineering; Drilling; Geology; 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":[0.0003435804,0.0007563063,0.001166795,0.0007544653,0.0009660595,0.001757946,0.00205379,0.004447592,0.008597589],"category_scores_gemma":[0.001556961,0.0005941205,0.0009877679,0.0006451691,0.001658229,0.001581398,0.001128335,0.00124162,0.0006406942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322255,"about_ca_system_score_gemma":0.001633818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02859323,"about_ca_topic_score_gemma":0.01338403,"domain_scores_codex":[0.9997749,0.00005940168,0.00001411296,0.00004327375,0.00005403769,0.00005441178],"domain_scores_gemma":[0.9994509,0.0002474556,0.00006723978,0.00003539981,0.0001142031,0.0000847799],"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":[0.00004944307,0.00004130887,0.0003675487,0.00004095505,0.000009847892,0.0001597129,0.00004483181,0.9662574,0.001626099,0.02956054,0.0003580579,0.001484326],"study_design_scores_gemma":[0.00002229683,0.00001552988,0.00007420711,0.000005288738,0.000005397567,0.00002180994,0.00001593159,0.9946681,0.0001963728,0.004463516,0.0005038449,0.000007761341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.420636,0.001722293,0.4437143,0.003420616,0.0004568526,0.0002194234,0.001835259,0.0007552179,0.1272401],"genre_scores_gemma":[0.9594834,0.0004363775,0.0130018,0.0001024492,0.00004336748,0.000104799,0.0002378529,0.00007706025,0.02651285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02859323,"threshold_uncertainty_score":0.05685359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665583241709174,"score_gpt":0.2121680334483214,"score_spread":0.1955122010312296,"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."}}