{"id":"W2586095345","doi":"10.3390/machines5010005","title":"A Method for Design of Modular Reconfigurable Machine Tools","year":2017,"lang":"en","type":"article","venue":"Machines","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Modular design; Control reconfiguration; Construct (python library); Computer science; Identification (biology); Software; Set (abstract data type); Engineering drawing; Machine tool; Machining; Engineering; Embedded system; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004113941,0.0007719837,0.0005455792,0.001031798,0.0003809845,0.0005311433,0.0009647857,0.0004622148,0.007130426],"category_scores_gemma":[0.0006260208,0.0004278928,0.0009002807,0.0005143618,0.000428404,0.0004492208,0.0005456003,0.0007091748,0.002297901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003430348,"about_ca_system_score_gemma":0.0004660091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000389766,"about_ca_topic_score_gemma":0.000550998,"domain_scores_codex":[0.9995017,0.0000825998,0.00002113939,0.00009222797,0.000270468,0.00003191176],"domain_scores_gemma":[0.9997973,0.00006781508,0.00002079138,0.00004802178,0.00005631067,0.000009864914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001305157,0.00009332519,0.0005984997,0.0009867136,0.0001450501,0.0003422371,0.0002408444,0.1088591,0.1657739,0.1086095,0.009324094,0.6048961],"study_design_scores_gemma":[0.0001585503,0.0004602454,0.0008307225,0.0001619945,0.0001075073,0.001382143,0.00005895853,0.5248975,0.1105298,0.04123591,0.3200649,0.0001118146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001502389,0.0001351118,0.9947462,0.00001656061,0.00003776084,0.000057978,0.00004367957,0.0006932635,0.002767181],"genre_scores_gemma":[0.03837915,0.0001946762,0.9568487,0.00002719831,0.00002258967,0.0002491875,0.0001447483,0.0002675256,0.003866338],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007130426,"threshold_uncertainty_score":0.0238536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03596449582365892,"score_gpt":0.2788526031616607,"score_spread":0.2428881073380018,"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."}}