{"id":"W2000003935","doi":"10.1016/j.cirp.2007.05.079","title":"Power and Wheel Wear for Grinding Nickel Alloy with Plated CBN Wheels","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Grinding; Materials science; Grinding wheel; Metallurgy; Abrasive; Alloy; Electroplating; Layer (electronics); Composite material","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":[0.0001542402,0.0001152278,0.0001203496,0.00006495084,0.00007637199,0.00003603887,0.0000523057,0.00006227713,0.00001586473],"category_scores_gemma":[0.00002936225,0.0001049554,0.00001933455,0.0001043531,0.00001860538,0.0001922584,0.00001057135,0.00007993857,0.000003199073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009837197,"about_ca_system_score_gemma":0.000006555566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001101489,"about_ca_topic_score_gemma":0.000007305881,"domain_scores_codex":[0.9994016,0.000002328088,0.0001307124,0.0001405271,0.00007109644,0.0002537779],"domain_scores_gemma":[0.9996979,0.00005450157,0.00003130727,0.00008773847,0.00005456904,0.00007397994],"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":[0.000501347,0.00008978765,0.006259024,0.0007895155,0.0003627462,0.0000422789,0.005083653,0.9311573,0.0203642,0.004210646,0.005127124,0.02601236],"study_design_scores_gemma":[0.01290328,0.002395453,0.04532427,0.001965045,0.0002692627,0.0002685757,0.003979325,0.4510047,0.1533889,0.006441565,0.3166075,0.005452048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3453859,0.00107439,0.6492191,0.000109935,0.0001522621,0.0002734895,0.00001368159,0.0003208408,0.00345041],"genre_scores_gemma":[0.9855663,0.0001721034,0.0136462,0.0001540237,0.00004779355,0.000009769539,0.00001648518,0.00004787995,0.0003395021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6401803,"threshold_uncertainty_score":0.4279959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349491580332853,"score_gpt":0.2596897788980951,"score_spread":0.2461948630947665,"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."}}