{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001237513,0.0001373915,0.0001527922,0.0001224835,0.00027928,0.00005714247,0.0001286308,0.00004491029,0.00000281103],"category_scores_gemma":[0.00007524863,0.0001354384,0.000006713839,0.00007367781,0.00003772481,0.0008476789,0.00004033127,0.0001283199,0.000006796655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007605991,"about_ca_system_score_gemma":0.00001644878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.47354e-7,"about_ca_topic_score_gemma":0.00009471714,"domain_scores_codex":[0.999211,0.000008627093,0.000239357,0.0002618176,0.0001183208,0.0001608406],"domain_scores_gemma":[0.9995968,0.0000179093,0.00007186865,0.0002510661,0.00003246497,0.00002986381],"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":[0.00006351899,0.0001263831,0.02031092,0.00004305894,0.000006179002,0.000004905615,0.001927376,0.6998029,0.0001469037,0.0006734593,0.000002852404,0.2768915],"study_design_scores_gemma":[0.02053661,0.001945126,0.2151186,0.001616123,0.00003344933,0.00001117189,0.02895779,0.4286937,0.1314157,0.03909672,0.1276951,0.004879899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2672662,0.002328564,0.7255591,0.0001718328,0.0005164928,0.0003940599,0.000001430649,0.0003359537,0.003426328],"genre_scores_gemma":[0.9869462,0.001633188,0.01120342,0.00001612947,0.00001734025,0.0001260636,0.000004373617,0.00001476679,0.0000384735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.71968,"threshold_uncertainty_score":0.5523016,"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."}}