{"id":"W2315711638","doi":"10.2118/174837-ms","title":"Sand Control Screen Erosion: Prediction and Avoidance","year":2015,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"Southwest Research Institute","keywords":"Erosion; Subsea; Computational fluid dynamics; Completion (oil and gas wells); Flow (mathematics); Geotechnical engineering; Petroleum engineering; Current (fluid); Work (physics); Geology; Environmental science; Engineering; Mechanics; Mechanical engineering","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":[0.0003039754,0.0001163145,0.0001336761,0.0000224957,0.0001304655,0.00005452873,0.0000662953,0.00009937221,0.0002194843],"category_scores_gemma":[0.00008167703,0.00009776485,0.00001941774,0.00008450328,0.0002755306,0.0003760327,0.000119514,0.0001749278,0.00006860596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002898176,"about_ca_system_score_gemma":0.000009420408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272044,"about_ca_topic_score_gemma":0.00006678007,"domain_scores_codex":[0.9990861,0.00005195049,0.0001642034,0.0003015749,0.0002238694,0.0001723165],"domain_scores_gemma":[0.9995712,0.00003138954,0.00004887574,0.0001104704,0.00002617709,0.0002119078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006093254,0.0002902083,0.3999734,0.00003412196,0.00001488001,0.00003638487,0.001542239,0.0001181248,0.4158421,0.01286993,0.07150806,0.09716125],"study_design_scores_gemma":[0.004640422,0.00171832,0.9383425,0.0002621142,0.00006016576,0.0001466635,0.001245989,0.004982003,0.007166011,0.02770029,0.0129899,0.0007456958],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526005,0.000143149,0.01880603,0.002289615,0.00008853069,0.0003486551,0.0001168892,0.0002026216,0.02540403],"genre_scores_gemma":[0.9985637,0.00008483743,0.0005041176,0.0005970838,0.00005258773,0.00001076624,0.00001777098,0.000006418308,0.0001627148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5383691,"threshold_uncertainty_score":0.3986735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325998414633952,"score_gpt":0.2517385014588764,"score_spread":0.2284785173125369,"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."}}