{"id":"W1926365506","doi":"10.3968/5957","title":"Finite Element Analysis of Perforated Casing High Stress Area Compressed Volume Coefficient","year":2014,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Casing; Perforation; Volume (thermodynamics); Stress (linguistics); Finite element method; Materials science; Cylinder stress; Mechanics; Geotechnical engineering; Structural engineering; Engineering; Composite material; Petroleum engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003052319,0.000402652,0.0005086976,0.0006494664,0.0002903822,0.0004527589,0.0007174702,0.0007717241,0.00231875],"category_scores_gemma":[0.0009915521,0.0003308749,0.0005669659,0.0003627726,0.0004767174,0.0004460923,0.0003809618,0.0004402658,0.0003019791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003695716,"about_ca_system_score_gemma":0.0007492661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00639888,"about_ca_topic_score_gemma":0.003759023,"domain_scores_codex":[0.9997576,0.00005013857,0.00001092867,0.00003363783,0.0001214787,0.00002623499],"domain_scores_gemma":[0.9996314,0.0001723963,0.0000361478,0.00002200502,0.0001221377,0.0000159118],"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":[0.00002517764,0.00001609098,0.001194079,0.00007387246,0.00001455302,0.00009799575,0.00008512947,0.9751398,0.007491087,0.005006599,0.0003354665,0.01052004],"study_design_scores_gemma":[0.000001598876,0.000007735319,0.0001218356,0.000004372686,0.000002064128,0.00001607729,0.00001160339,0.9984359,0.0006616347,0.0003804857,0.000353546,0.000003110238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05603994,0.000225216,0.9361965,0.0001364078,0.00004284866,0.00005427629,0.00008912094,0.0002561788,0.006959463],"genre_scores_gemma":[0.9184268,0.0002928038,0.07407606,0.00003865896,0.00002044701,0.0001543462,0.0001559037,0.00008256837,0.006752512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00639888,"threshold_uncertainty_score":0.01272327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009599206480845354,"score_gpt":0.2071896641494173,"score_spread":0.1975904576685719,"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."}}