{"id":"W2538346096","doi":"10.1017/cbo9780511843723","title":"Manufacturing Automation","year":2012,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1133,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Numerical control; Automation; Interpolation (computer graphics); Manufacturing engineering; Engineering; Modal; Engineering drawing; CAD; Mechanical engineering; Actuator; Machine tool; Modal analysis; Computer Aided Design; Computer science; Control engineering; Industrial engineering; Machining; Finite element method; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005070341,0.0003165526,0.0002542238,0.0001734512,0.0001046281,0.00004860881,0.0002715217,0.0003635425,0.00001017559],"category_scores_gemma":[0.0000016502,0.0003945777,0.0001015274,0.000005948359,0.00003727017,0.0001777388,0.00009745085,0.0003494387,0.00003071049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003854691,"about_ca_system_score_gemma":0.00003954642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001163348,"about_ca_topic_score_gemma":3.683982e-7,"domain_scores_codex":[0.9991455,0.00001434266,0.0001459204,0.0002174015,0.0001790748,0.0002977792],"domain_scores_gemma":[0.9994262,0.00002218189,0.00008164812,0.0003067238,0.00003378138,0.0001294383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005181218,0.0000272604,0.000002932885,0.004911254,0.0006311508,0.0001369338,0.0003796996,0.05387297,0.00005237466,0.1526905,0.7566592,0.03058393],"study_design_scores_gemma":[0.0002114267,0.000006197955,0.00003511882,0.0001176862,0.0001257365,0.000005692971,0.000005385312,0.004908272,0.005296574,0.00000193791,0.98884,0.0004459307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001684662,0.0002027702,0.009793733,0.000001391817,0.0005021009,0.0002321271,0.00006661717,0.001002967,0.9880298],"genre_scores_gemma":[0.002968712,0.0001115044,0.0003377059,0.000009697554,0.0002643696,0.000001221008,0.0001851579,0.00007831567,0.9960433],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2321809,"threshold_uncertainty_score":0.9998506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084305568642041,"score_gpt":0.1688872834158429,"score_spread":0.1580442277294225,"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."}}