{"id":"W2625969313","doi":"10.31026/j.eng.2014.03.05","title":"Experimental and Modeling Study of Abrasive Wear of Tungsten Carbide Drilling Bit in Wet and Dry Conditions","year":2023,"lang":"en","type":"article","venue":"Journal of Engineering","topic":"Advanced materials and composites","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Abrasive; Tungsten carbide; Materials science; Abrasion (mechanical); Drilling; Composite material; Metallurgy; Tungsten; Dry sand","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":[],"consensus_categories":[],"category_scores_codex":[0.00008575671,0.00007756799,0.0002314075,0.0002216637,0.00001076233,0.000008208018,0.00004008505,0.00002278663,0.000001949664],"category_scores_gemma":[0.00001194045,0.0000777191,0.00002000407,0.0001127023,0.000006684574,0.0001278992,0.00002578385,0.00007927837,9.966412e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001593938,"about_ca_system_score_gemma":0.000003773831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009624951,"about_ca_topic_score_gemma":0.000001457357,"domain_scores_codex":[0.9994494,0.000005236175,0.0003241042,0.00004875843,0.00008131522,0.00009113202],"domain_scores_gemma":[0.9998059,0.00004164352,0.00005067586,0.00004366322,0.00002343568,0.00003473984],"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":[0.000003507218,0.00001019141,0.0006824965,0.00004006838,0.00002005048,0.000008743825,0.0007857215,0.5222014,0.4762203,0.00001309865,4.347476e-7,0.00001400414],"study_design_scores_gemma":[0.0008853957,0.0001961843,0.005467866,0.0003481166,0.00002466006,0.00002160876,0.004440713,0.8090644,0.1793729,0.00004526872,0.000003412608,0.0001295456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971611,0.0008097594,0.001818413,0.000002341254,0.0001188589,0.00005858677,0.000003720151,0.00001865207,0.000008554654],"genre_scores_gemma":[0.9988863,0.0001099911,0.0009485627,6.095653e-7,0.00003372549,0.000002304548,5.192609e-7,0.00001678643,0.000001146451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2968475,"threshold_uncertainty_score":0.3169293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113203826089077,"score_gpt":0.2441205070725075,"score_spread":0.2328001244635999,"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."}}