{"id":"W3133650005","doi":"10.1177/1461348421989156","title":"Kinematics and dynamics analysis of new rotary-percussive PDM drilling tool","year":2021,"lang":"en","type":"article","venue":"Journal of low frequency noise, vibration and active control","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Rate of penetration; Drilling; Kinematics; Drill string; Vibration; Mechanical engineering; Drill pipe; Displacement (psychology); Engineering; Mechanism (biology); Drill; Measurement while drilling; Deep hole drilling; Computer science; Acoustics","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":[0.0001825784,0.0003082893,0.0002658065,0.0004139843,0.0002066978,0.0004010998,0.0004791937,0.0003871376,0.001229668],"category_scores_gemma":[0.0003385518,0.0002697825,0.0002774566,0.0001510627,0.0003376694,0.0005737419,0.0004514029,0.0002189929,0.0002312944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002111029,"about_ca_system_score_gemma":0.0004221369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001477404,"about_ca_topic_score_gemma":0.001065836,"domain_scores_codex":[0.9997879,0.00002019514,0.00001032759,0.00003724486,0.0001239453,0.00002042583],"domain_scores_gemma":[0.9998931,0.00002074192,0.00003121347,0.00001385712,0.00003306448,0.000008112424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003218069,0.00006835707,0.01182022,0.0007245353,0.00005774678,0.00147245,0.000866479,0.4022585,0.3537982,0.02531824,0.001322043,0.2019714],"study_design_scores_gemma":[0.00003088126,0.0002966941,0.004025617,0.00003089652,0.00002039379,0.0005336127,0.0001390793,0.974018,0.01377936,0.001681183,0.005413486,0.00003093148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1743542,0.0004499873,0.8167198,0.0001421522,0.00005292005,0.00006980226,0.00006216007,0.0004261398,0.007722932],"genre_scores_gemma":[0.9565872,0.0002605791,0.04023538,0.00001536402,0.000008375121,0.00004616101,0.00005199713,0.00001853005,0.002776518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001477404,"threshold_uncertainty_score":0.004113674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004131417139923094,"score_gpt":0.1921847711531904,"score_spread":0.1880533540132673,"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."}}