{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000155645,0.000121184,0.0002120222,0.0005328843,0.00004433863,0.0000200816,0.0001228901,0.0001772898,0.000003507213],"category_scores_gemma":[0.0001367094,0.00009136082,0.0000426603,0.0002011805,0.00003127971,0.0001457862,0.00003601517,0.0001388518,9.996641e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054716,"about_ca_system_score_gemma":0.000005253011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002567599,"about_ca_topic_score_gemma":0.000003544304,"domain_scores_codex":[0.999271,0.00001153495,0.0003441813,0.00008733108,0.0001097905,0.0001761926],"domain_scores_gemma":[0.9994731,0.0001587094,0.000139183,0.0001095787,0.00006924912,0.00005016197],"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":[0.00001097169,0.000006791543,0.003243575,0.00001902523,0.00007416696,0.00001697594,0.00005394161,0.8822435,0.02441863,0.002911199,0.00001990106,0.08698138],"study_design_scores_gemma":[0.0008357351,0.0001932755,0.000476942,0.0004013284,0.0000488219,0.00022749,0.00008982717,0.9119779,0.03719207,0.003362518,0.04489048,0.0003035383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7875143,0.0005641211,0.2104581,0.0002576001,0.000198302,0.00001530111,0.000001210879,0.0002069693,0.0007840231],"genre_scores_gemma":[0.9987022,0.0002723873,0.0007984972,0.000007973576,0.000132093,9.051848e-7,6.39906e-7,0.0000296775,0.00005562941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2111879,"threshold_uncertainty_score":0.3725586,"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."}}