{"id":"W4412798884","doi":"10.1016/j.applthermaleng.2025.127620","title":"Improvement and experimental validation of an analytical model for standing column wells operated with bleed","year":2025,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Natural Resources Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bleed; Column (typography); Petroleum engineering; Model validation; Engineering; Environmental science; Reliability engineering; Mechanical engineering; Computer science; Medicine; Data science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006443433,0.000633006,0.0004589706,0.0003108042,0.000416382,0.0008396475,0.0009354491,0.0007859332,0.0009988672],"category_scores_gemma":[0.001284624,0.0002731304,0.0004715197,0.0003062191,0.0005892644,0.0008007102,0.0004838608,0.0006214926,0.0002804718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006949612,"about_ca_system_score_gemma":0.001136898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006331246,"about_ca_topic_score_gemma":0.006476602,"domain_scores_codex":[0.9997483,0.00003031986,0.00002202804,0.00006617352,0.0001035207,0.00002957037],"domain_scores_gemma":[0.9994677,0.0001821156,0.00006795772,0.0001004674,0.0001582305,0.00002364869],"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":[0.0002305916,0.0002714799,0.007208009,0.0001997003,0.00002364467,0.0002420161,0.000173676,0.739437,0.2325568,0.001774882,0.0004666724,0.01741552],"study_design_scores_gemma":[0.00001283658,0.0001030051,0.001021584,0.000009290266,0.00001043281,0.00002083659,0.00002908217,0.9392776,0.05874951,0.000185573,0.0005616361,0.00001860501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7313445,0.0001793571,0.2633203,0.000193667,0.00008007718,0.0001442341,0.0008481332,0.001104893,0.00278487],"genre_scores_gemma":[0.9792767,0.0001036929,0.01955125,0.00001243072,0.000002937567,0.00007013734,0.0002321962,0.00002870927,0.0007220667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006331246,"threshold_uncertainty_score":0.01258874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006523880088976658,"score_gpt":0.2098702620269024,"score_spread":0.2033463819379257,"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."}}