{"id":"W2016984368","doi":"10.1115/imece2004-59340","title":"Kinematic Model of Dynamic Drilling Process","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Pratt and Whitney Canada","keywords":"Thrust; Kinematics; Torque; Vibration; Drilling; Drill; Axial symmetry; Mechanics; Machining; Structural engineering; Engineering; Control theory (sociology); Physics; Mechanical engineering; Computer science; Acoustics; Classical mechanics","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":[0.00001704596,0.00005645057,0.00007685515,0.00003153269,0.00001368227,0.00000410048,0.00004749936,0.00002183008,0.000006910176],"category_scores_gemma":[0.00000871228,0.0000510132,0.00001359032,0.00008986823,0.000007094292,0.0001032064,0.000004164766,0.00003611054,0.000002048226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001583883,"about_ca_system_score_gemma":0.000009955758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.732281e-7,"about_ca_topic_score_gemma":0.000003609057,"domain_scores_codex":[0.9996989,4.83128e-7,0.0001156427,0.00005375858,0.00005603911,0.00007520065],"domain_scores_gemma":[0.9998727,0.000004479617,0.00001716396,0.00006086115,0.00002814069,0.00001663502],"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":[7.377581e-7,0.000005270862,0.000002135307,0.0002508366,0.000003301838,8.053518e-8,0.000209358,0.996842,0.0008947986,0.001144366,3.988326e-7,0.0006467421],"study_design_scores_gemma":[0.0001366507,0.000005778836,0.000002870051,0.00004389236,0.000004706758,6.335241e-7,0.00004158361,0.9826921,0.00332981,0.01367948,5.718314e-7,0.00006194461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0486319,0.00006824551,0.9473957,0.00001163452,0.00002383303,0.00004572007,8.518587e-7,0.0001819701,0.003640143],"genre_scores_gemma":[0.8624424,0.00003702034,0.1374531,0.000007929909,0.000003090763,0.000003882902,0.000002882415,0.00001429086,0.00003538631],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8138105,"threshold_uncertainty_score":0.2080258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006107119396543949,"score_gpt":0.2336175356230604,"score_spread":0.2275104162265165,"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."}}