{"id":"W2806352440","doi":"","title":"Feasibility Study on Resonance Enhanced Drilling Technology","year":2017,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drilling; Drill bit; Drill; Resonance (particle physics); Measurement while drilling; Excitation; Modal analysis; Drilling fluid; Realization (probability); Petroleum engineering; Drill pipe; Vibration; Engineering; Acoustics; Geology; Mechanical engineering; Physics; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033449,0.0003807616,0.0003653467,0.0004630556,0.0003900483,0.000651529,0.0006291449,0.0009067687,0.002505228],"category_scores_gemma":[0.001547831,0.0002405032,0.0005666121,0.0002272975,0.00059723,0.001992384,0.0007225881,0.0005285696,0.0005883612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002452476,"about_ca_system_score_gemma":0.0007699237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003684566,"about_ca_topic_score_gemma":0.00027115,"domain_scores_codex":[0.9989114,0.0002069824,0.00005586715,0.0001240472,0.0006124409,0.00008930694],"domain_scores_gemma":[0.9992848,0.0002501526,0.00008083221,0.00008113332,0.0002630902,0.00003987576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007213451,0.0002381864,0.004071028,0.001286044,0.00005424174,0.002073774,0.0006655062,0.03326713,0.7729943,0.05535926,0.002361349,0.1269078],"study_design_scores_gemma":[0.0003387511,0.004703431,0.004034645,0.0002943668,0.0002338822,0.005938674,0.001030311,0.353424,0.5506148,0.01725976,0.06187004,0.0002572976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1821059,0.001844597,0.7810862,0.001367082,0.0002492784,0.0003483431,0.00008438397,0.0005436584,0.03237069],"genre_scores_gemma":[0.8182144,0.00120863,0.1757515,0.0001349751,0.00004272278,0.0001518262,0.0000711315,0.00003400798,0.004390871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002505228,"threshold_uncertainty_score":0.00838089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560637489042727,"score_gpt":0.3014389124102491,"score_spread":0.2758325375198218,"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."}}