{"id":"W2164055462","doi":"10.1109/icma.2006.257574","title":"Web-based Rapid Machining in Distributed Manufacturing Environment","year":2006,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Machining; Manufacturing engineering; Computer science; Web application; Integrated Computer-Aided Manufacturing; Computer-integrated manufacturing; Engineering; Mechanical engineering; Operating system","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":[0.0008873005,0.000323496,0.000422901,0.0003721043,0.0003816127,0.001148513,0.0009595174,0.0008012016,0.002535766],"category_scores_gemma":[0.001528176,0.0003002274,0.0003049614,0.0004211523,0.0004541024,0.001377944,0.0008994858,0.0006979104,0.001106359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002432558,"about_ca_system_score_gemma":0.0005118572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009376379,"about_ca_topic_score_gemma":0.0008599525,"domain_scores_codex":[0.9993327,0.0002133363,0.0000381728,0.0001161162,0.0002533983,0.00004626756],"domain_scores_gemma":[0.9987147,0.0004690479,0.00005640084,0.0005068537,0.0001716248,0.00008128153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001584153,0.001075204,0.003817387,0.000558306,0.0001261562,0.002788218,0.001139765,0.08814061,0.1701741,0.04437268,0.01327489,0.6729485],"study_design_scores_gemma":[0.0004439671,0.0004983525,0.004942063,0.00008916939,0.00009403697,0.001434228,0.0002793803,0.7116246,0.1354612,0.04117005,0.1038624,0.0001006386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04039697,0.0002078294,0.9278526,0.0001648485,0.00003303892,0.0002074405,0.0001002734,0.022308,0.008728904],"genre_scores_gemma":[0.4832606,0.0003331998,0.5025671,0.0001717873,0.00004281842,0.0003007019,0.0006726721,0.0007498985,0.01190121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002535766,"threshold_uncertainty_score":0.008482993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004530352525891371,"score_gpt":0.1669161566572513,"score_spread":0.1623858041313599,"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."}}