{"id":"W1980181883","doi":"10.1016/s0278-6125(03)90010-0","title":"Development of an automated system for measuring grinding wheel wear flats","year":2003,"lang":"en","type":"article","venue":"Journal of Manufacturing Systems","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pulverizer; Grinding; Grinding wheel; Process (computing); Mechanical engineering; Measure (data warehouse); Digital microscope; Surface grinding; Engineering; Position (finance); Software; Engineering drawing; Automotive engineering; Computer science; Microscope; Optics","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":[0.0007417672,0.0001624608,0.0003668015,0.0002011409,0.0001012606,0.00005174255,0.000147685,0.0000777653,0.000001186704],"category_scores_gemma":[0.00003667536,0.0001456408,0.00006600042,0.00006252631,0.00000622305,0.0003351744,0.000008277145,0.0001255644,9.40321e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002166176,"about_ca_system_score_gemma":0.00005044963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001040566,"about_ca_topic_score_gemma":0.000001645538,"domain_scores_codex":[0.9985608,0.00003075658,0.0008203008,0.0001016032,0.0002669917,0.0002195178],"domain_scores_gemma":[0.9991859,0.00004664476,0.0004377147,0.0001149641,0.0001196727,0.00009506628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001625365,0.0000126143,0.00004041997,0.002056422,0.00009340708,0.000005068232,0.0007509044,0.9912339,0.00471379,0.00008495847,0.000008602988,0.0009836913],"study_design_scores_gemma":[0.001451879,0.00009772652,0.0004300875,0.002329265,0.00006843158,0.0003731671,0.002659278,0.192918,0.7956635,0.00001465036,0.003598904,0.0003951146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7394812,0.000397097,0.2581618,9.452281e-7,0.001277014,0.0001857577,0.000002009568,0.0002323247,0.0002618789],"genre_scores_gemma":[0.9338145,0.000008706022,0.06600976,7.366239e-7,0.00009590059,0.00000740193,0.00000157688,0.00004473568,0.00001669962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7983159,"threshold_uncertainty_score":0.5939062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946855293796963,"score_gpt":0.2452908361702622,"score_spread":0.2258222832322926,"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."}}