{"id":"W2023932896","doi":"10.2118/81150-ms","title":"Predicting Transition to Turbulence in Well Construction Flows","year":2003,"lang":"en","type":"article","venue":"SPE Latin American and Caribbean Petroleum Engineering Conference","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Context (archaeology); Turbulence; Annulus (botany); Confusion; Statistical physics; Plane (geometry); Range (aeronautics); Flow (mathematics); Mechanics; Hydraulics; Pipe flow; Computer science; Geology; Mathematics; Engineering; Physics; Thermodynamics; Geometry; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001178378,0.0002514765,0.0002861235,0.0002218024,0.00003501858,0.00006489982,0.00009439167,0.00005542285,0.0000433249],"category_scores_gemma":[0.00003051974,0.0002891744,0.00003955109,0.0003554079,0.00004659297,0.00009831246,0.00001399956,0.0002844865,0.00001176637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007962538,"about_ca_system_score_gemma":0.00002072723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001308643,"about_ca_topic_score_gemma":0.0001082546,"domain_scores_codex":[0.9988672,0.0000205756,0.0002780823,0.0002953571,0.0001524197,0.0003863947],"domain_scores_gemma":[0.9995589,0.00003737254,0.00002661799,0.0001828406,0.00002618483,0.0001681418],"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":[0.000006450523,0.00001193624,0.004709747,0.00006363597,0.00001781637,0.00001070891,0.0005252918,0.9811774,0.004566127,0.003908869,0.00001351214,0.004988459],"study_design_scores_gemma":[0.0002821527,0.00006922313,0.006694601,0.00008723079,0.00001032381,0.00001584738,0.0002350829,0.9909294,0.0003494618,0.00005193342,0.0009442489,0.0003304675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398617,0.00009021505,0.05486722,0.00007929937,0.000342107,0.0001340253,0.00002188636,0.0002700327,0.004333514],"genre_scores_gemma":[0.9886652,0.0001160983,0.01104316,0.00003761219,0.00004276729,0.00002273536,0.000009165537,0.00003773205,0.00002551652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04880352,"threshold_uncertainty_score":0.999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004060274886917775,"score_gpt":0.1744187443758723,"score_spread":0.1703584694889546,"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."}}