{"id":"W2021283004","doi":"10.1115/1.2122987","title":"Wear of Electroplated CBN Grinding Wheels","year":2005,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Ford Motor Company; National Science Foundation","keywords":"Materials science; Abrasive; Grinding; Grain size; Metallurgy; Electroplating; Composite material; Boron nitride; Surface roughness; Grinding wheel; Surface finish; Layer (electronics)","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":[0.0003839336,0.0002916947,0.0004887443,0.0003680496,0.000250939,0.000247392,0.000458086,0.000334793,0.0006541231],"category_scores_gemma":[0.001103123,0.0002437034,0.0002792999,0.0001919217,0.0003063415,0.0002126042,0.0002078667,0.0002439203,0.0001502373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005243724,"about_ca_system_score_gemma":0.0002599134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0037515,"about_ca_topic_score_gemma":0.01040422,"domain_scores_codex":[0.9995109,0.00001896603,0.00001977862,0.00008458664,0.0002990295,0.00006669482],"domain_scores_gemma":[0.9991468,0.0002061591,0.0001670303,0.0001268157,0.0003063295,0.00004687186],"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":[0.0002108958,0.00001760608,0.002472918,0.000111844,0.00001113871,0.000137566,0.00007086844,0.001168712,0.9881331,0.00002613517,0.00006928132,0.007569872],"study_design_scores_gemma":[0.00002516516,0.0007948501,0.07311299,0.00001951426,0.00002924859,0.0006007232,0.00009746405,0.01316107,0.9096007,0.00005035897,0.002463088,0.00004473197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974445,0.0003666159,0.001859882,0.000006916317,0.00001542922,0.000008490081,0.00006526021,0.000049136,0.0001836699],"genre_scores_gemma":[0.9959775,0.0001424158,0.002613924,0.000009672672,0.000002769444,0.000006150987,0.0001388493,0.00001908481,0.001089665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0037515,"threshold_uncertainty_score":0.007459283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003511761549205406,"score_gpt":0.1941523662270368,"score_spread":0.1906406046778314,"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."}}