{"id":"W2562821943","doi":"10.1115/1.4035514","title":"Drill Bit Contact Dynamics Including Side Cutting: Simulation and Validation","year":2016,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drilling; Computer science; Curvature; Context (archaeology); Finite element method; Drill bit; Fidelity; Contact dynamics; Directional drilling; Drill; Wellbore; Mechanical engineering; Simulation; Engineering; Structural engineering; Geology; Petroleum engineering; Mathematical optimization; Geometry; Mathematics","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":[0.0005223396,0.0003670683,0.0007121076,0.0003932963,0.0003316724,0.0006592519,0.0008297909,0.001217861,0.002449113],"category_scores_gemma":[0.002408622,0.0002488274,0.0004408787,0.0003928691,0.0006513573,0.0007372195,0.0008114857,0.0007927755,0.0003288011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809986,"about_ca_system_score_gemma":0.0006362458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004771888,"about_ca_topic_score_gemma":0.002362831,"domain_scores_codex":[0.9997136,0.00005703099,0.00001852398,0.00002852554,0.0001421229,0.00004011468],"domain_scores_gemma":[0.998507,0.0008377299,0.000128009,0.0002029531,0.0002722314,0.00005210299],"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":[0.0000448695,0.00005119758,0.001533535,0.00007428029,0.000007642876,0.00007033897,0.00006617788,0.985212,0.004203636,0.002502943,0.0001902733,0.006043114],"study_design_scores_gemma":[0.000004786922,0.00002621052,0.0001936555,0.000005877882,0.000001569168,0.0000126722,0.0000118479,0.9978825,0.001271791,0.0002953432,0.000289451,0.000004217495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6653699,0.0007070241,0.316595,0.0003321939,0.000102125,0.0002093766,0.0008546422,0.0008130312,0.01501669],"genre_scores_gemma":[0.9657044,0.0003318958,0.03182317,0.00002420377,0.000009692273,0.0001177227,0.0003055008,0.00005745119,0.00162593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004771888,"threshold_uncertainty_score":0.009488225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008454573003574327,"score_gpt":0.2179070042589007,"score_spread":0.2094524312553264,"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."}}