{"id":"W1041040779","doi":"","title":"Wear Analysis And Optimization On Impregnated Diamond Bits In Vibration Assisted Rotary Drilling (VARD)","year":2011,"lang":"en","type":"article","venue":"45th U.S. Rock Mechanics / Geomechanics Symposium","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Drilling; Diamond; Acknowledgement; Abrasion (mechanical); Wear resistance; Power consumption; Materials science; Tool wear; Vibration; Rate of penetration; Bit (key); Composite material; Structural engineering; Computer science; Power (physics); Engineering; Machining; Metallurgy; Acoustics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000579977,0.0007235119,0.0008054679,0.001637607,0.0003161619,0.0001107842,0.0004073623,0.0007030498,0.000109378],"category_scores_gemma":[0.00006191682,0.0007840051,0.0002442918,0.002495254,0.00000398258,0.0004462961,0.0001925845,0.000703024,0.00004028925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002614386,"about_ca_system_score_gemma":0.00004687421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008621317,"about_ca_topic_score_gemma":0.0001706169,"domain_scores_codex":[0.9964912,0.0001456962,0.0009667897,0.0009462142,0.0005551513,0.0008949688],"domain_scores_gemma":[0.9984103,0.00008929023,0.0002349001,0.000762344,0.0001682076,0.0003349979],"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":[0.00006915185,0.0001161116,0.00002852789,0.00009936673,0.0003885059,0.00002859665,0.0009056434,0.955409,0.03943602,0.003001714,0.00002080039,0.0004965179],"study_design_scores_gemma":[0.0009005971,0.0003050717,0.00002703058,0.0001560783,0.0004518323,0.00001701593,0.0002024306,0.9508362,0.04453888,0.001697459,0.00004593239,0.0008214035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02326899,0.0004122377,0.9728901,0.00005225941,0.001333571,0.0006848491,0.00007123462,0.0009193035,0.0003674808],"genre_scores_gemma":[0.9914448,0.001551813,0.006150377,0.0001125384,0.0001043163,0.0001019987,0.000259351,0.0002012526,0.00007352592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9681758,"threshold_uncertainty_score":0.9994611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149924599888997,"score_gpt":0.189820579112178,"score_spread":0.178321333113288,"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."}}