{"id":"W2243697171","doi":"10.4028/www.scientific.net/amr.1136.3","title":"Deep Profiled Slot Grinding on a Nickel-Based Alloy with Electroplated CBN Wheels","year":2016,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Grinding; Materials science; Electroplating; Grinding wheel; Broaching; Metallurgy; Alloy; Boron nitride; Grind; Head (geology); Mechanical engineering; Composite material; Engineering; Layer (electronics); Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004081065,0.0002554605,0.0002811601,0.0002670106,0.0001927482,0.0000885904,0.0002542779,0.0001054019,0.0002806914],"category_scores_gemma":[0.0001994993,0.0001700544,0.00002313037,0.0004630654,0.00008156096,0.0003559555,0.00003948252,0.0002053834,0.0001411292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002110043,"about_ca_system_score_gemma":0.00006031314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004039967,"about_ca_topic_score_gemma":0.00001453007,"domain_scores_codex":[0.9978997,0.00009881457,0.0002797247,0.0004144925,0.0004777848,0.0008294513],"domain_scores_gemma":[0.9989294,0.0002862432,0.00005278608,0.0003683564,0.0002330134,0.0001302236],"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":[0.0006980532,0.0000296744,0.0000271076,0.0001371484,0.00002318787,0.00001790705,0.00003476527,0.1651122,0.8266873,0.0007312068,0.00002979268,0.006471664],"study_design_scores_gemma":[0.001828081,0.0006091638,0.0001104699,0.0003885484,0.000006155732,0.000005238005,0.00001608144,0.005524527,0.9896546,0.0005315457,0.0009980459,0.0003275583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8057092,0.0001532028,0.1899789,0.0002715566,0.0002844212,0.00106044,0.00003045727,0.0009111941,0.001600649],"genre_scores_gemma":[0.9853726,0.0002455897,0.01337439,0.00002838092,0.00008417643,0.0003164503,0.00004081832,0.0001341046,0.0004035019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1796634,"threshold_uncertainty_score":0.6934618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937899942515432,"score_gpt":0.2987370439967735,"score_spread":0.2793580445716192,"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."}}