{"id":"W1607159425","doi":"","title":"A case study on practical error correction practices utilised on a CNC machine tool","year":2002,"lang":"en","type":"book-chapter","venue":"Huddersfield Research Portal (University of Huddersfield)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Imperial Metals (Canada)","funders":"","keywords":"Computer science; Numerical control; Engineering drawing; Manufacturing engineering; Engineering; Mechanical engineering; Machining","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":[0.002813005,0.0009486407,0.0006098136,0.001803539,0.004095911,0.002151486,0.003491858,0.003945272,0.004747452],"category_scores_gemma":[0.01024226,0.0005503637,0.0004571231,0.002534488,0.001937289,0.001783434,0.001790697,0.001534979,0.0008157919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002598656,"about_ca_system_score_gemma":0.002201529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01473351,"about_ca_topic_score_gemma":0.03794385,"domain_scores_codex":[0.9956149,0.001592255,0.0001947126,0.0004427185,0.00177724,0.000378112],"domain_scores_gemma":[0.9899531,0.006085435,0.0005766356,0.001489918,0.001520895,0.0003740739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.001692708,0.005082244,0.03716943,0.002264033,0.0001049863,0.07892396,0.1521225,0.05491617,0.06472082,0.01115953,0.0139506,0.5778931],"study_design_scores_gemma":[0.0004429138,0.0119803,0.1226635,0.001848305,0.0004443576,0.05446193,0.3127931,0.1135382,0.1367413,0.008840108,0.2355673,0.000678726],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557689,0.0003057739,0.02133361,0.0004945474,0.0000711452,0.0004558048,0.0001353296,0.000261561,0.02117337],"genre_scores_gemma":[0.9521781,0.0002764849,0.02847521,0.00008437212,0.00001423835,0.00009919002,0.0000999329,0.0001338061,0.01863863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01473351,"threshold_uncertainty_score":0.0292955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1543969357591676,"score_gpt":0.3345548547949025,"score_spread":0.180157919035735,"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."}}