{"id":"W3159670428","doi":"10.1016/j.ymssp.2021.107836","title":"Sensing and computational frameworks for improving drill-string dynamics estimation","year":2021,"lang":"en","type":"article","venue":"Mechanical Systems and Signal Processing","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Drill string; Drilling; Drill bit; Drill; Computer science; Vibration; Drilling engineering; String (physics); Seismic wave; Geology; Engineering; Mechanical engineering; Acoustics; Mathematics; Physics; Geophysics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001189057,0.001043512,0.001183312,0.0008777438,0.0004834943,0.001557601,0.001909133,0.001514625,0.003385697],"category_scores_gemma":[0.00663014,0.0005732977,0.0007809783,0.0007965591,0.0009469611,0.002542143,0.00210954,0.001982096,0.0007281993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004447685,"about_ca_system_score_gemma":0.001193335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003035686,"about_ca_topic_score_gemma":0.004211301,"domain_scores_codex":[0.9992206,0.0001782741,0.00004368594,0.0001746102,0.0003151826,0.00006764276],"domain_scores_gemma":[0.9983335,0.0008583556,0.0001342802,0.0002932765,0.0003212236,0.00005938385],"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":[0.0001639948,0.0002042458,0.0007840965,0.000191362,0.00007357702,0.00008002178,0.0000768133,0.6772302,0.0198369,0.09300146,0.002234716,0.2061226],"study_design_scores_gemma":[0.000003090245,0.00001520476,0.0000802633,0.000005320622,0.000003372077,0.00000978586,0.000004755114,0.9915621,0.001104912,0.006795539,0.0004108064,0.000004792208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003770589,0.0001809698,0.9947195,0.0001533037,0.00005176289,0.00001121539,0.00003973521,0.000219362,0.0008535478],"genre_scores_gemma":[0.4395319,0.0009137263,0.5550666,0.0003142121,0.0003411413,0.0001327663,0.0004145213,0.0001392777,0.003145825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003385697,"threshold_uncertainty_score":0.01132625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006684317801067804,"score_gpt":0.2060958188027172,"score_spread":0.1994115010016494,"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."}}