{"id":"W2323530005","doi":"10.14288/1.0098515","title":"Design and analysis of a CNC system for machining and monitoring","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Machining; Engineering drawing; Computer science; Manufacturing engineering; Engineering; Mechanical engineering","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":[0.00009829771,0.00002139946,0.0001534089,0.00005934696,0.00007032196,0.00003377927,0.0000523178,0.00004923201,0.000003473903],"category_scores_gemma":[0.000005700883,0.00007197936,0.00002860534,0.0001121742,0.00003313662,0.0001042783,0.00001860958,0.00004564418,5.069036e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007891646,"about_ca_system_score_gemma":0.000004518308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003043578,"about_ca_topic_score_gemma":0.003569656,"domain_scores_codex":[0.999712,0.000005573569,0.0000583049,0.0001041212,0.00004895909,0.00007099173],"domain_scores_gemma":[0.9997841,0.00003638272,0.00003687007,0.00006440836,0.00004252843,0.00003577431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001686421,0.00002399127,0.07582498,0.002147265,0.0007516606,0.00001222979,0.001216252,0.09438647,0.004764057,0.000006100061,0.0000380328,0.8208121],"study_design_scores_gemma":[0.0002567332,0.00001355829,0.7400739,0.00006000941,0.0002223793,0.000003921174,0.0003326315,0.2588948,0.0000589113,0.00000892415,0.000005753119,0.0000684568],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8675331,0.00008435073,0.1321184,0.000001343687,0.00005423266,0.00008368101,0.0000220208,0.00004287796,0.00005999088],"genre_scores_gemma":[0.9843392,0.00005030153,0.01557494,2.993444e-7,0.000007214909,4.101437e-7,0.000003712597,0.000006435833,0.0000175136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8207436,"threshold_uncertainty_score":0.4600999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007089052587603901,"score_gpt":0.1630371063916106,"score_spread":0.1559480538040067,"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."}}