{"id":"W2303670994","doi":"10.2118/179088-ms","title":"Optimizing Bridge Plug Milling Efficiency Utilizing Weight-On-Bit to Control Debris Size: A Comparative Study of the Debris Size vs Weight-On-Bit Utilizing Five Bladed Carbide Mill, Tri-Cone and PDC Bits","year":2016,"lang":"en","type":"article","venue":"SPE/ICoTA Coiled Tubing and Well Intervention Conference and Exhibition","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada)","funders":"Shell Canada","keywords":"Drilling; Spark plug; Plug-in; Rate of penetration; Bit (key); Computer science; Engineering; Mechanical engineering; Operating system","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":[0.0005895397,0.0003966293,0.000569594,0.0005744688,0.0002022489,0.0007292131,0.0005196976,0.000319028,0.0007961642],"category_scores_gemma":[0.0009095775,0.0002050577,0.0003053108,0.0005648009,0.0002069155,0.0005751007,0.000248948,0.0003271994,0.000228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001421605,"about_ca_system_score_gemma":0.0001589825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004143293,"about_ca_topic_score_gemma":0.00103811,"domain_scores_codex":[0.9995061,0.000046155,0.00005486292,0.00006623034,0.0002686761,0.0000580246],"domain_scores_gemma":[0.9990782,0.0002742144,0.0002109319,0.00007716949,0.0003007059,0.00005877081],"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":[0.001864349,0.0006974176,0.006218829,0.0007470509,0.0000543239,0.0002222203,0.0002010012,0.004006696,0.9273491,0.0001711704,0.0003176111,0.05815016],"study_design_scores_gemma":[0.00006317405,0.01083669,0.04560235,0.00003283308,0.0001817981,0.0002435309,0.0004683888,0.01330617,0.9256305,0.00007666503,0.003493959,0.0000639283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995671,0.000524375,0.002970608,0.00001626196,0.00001911409,0.00004194168,0.00007617491,0.00005709908,0.0006235103],"genre_scores_gemma":[0.9928283,0.0003853157,0.005646938,0.00001299754,0.000005946814,0.00002826431,0.00008846723,0.00002833627,0.0009753593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007961642,"threshold_uncertainty_score":0.0031178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088573803772529,"score_gpt":0.2424825434295133,"score_spread":0.221596805391788,"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."}}