{"id":"W2595897898","doi":"","title":"Design and automatic assembly sequence generation of a d.c. motor","year":2014,"lang":"en","type":"article","venue":"International Journal of Vehicle Design","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Automotive industry; Engineering; Process (computing); Manufacturing engineering; Production (economics); Torque; Design for assembly; Automotive engineering; Sequence (biology); Industrial engineering; Control engineering; Computer science; 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":[0.0007707359,0.0008143139,0.000630977,0.0008753442,0.0004983259,0.0006628117,0.0009203075,0.0006677684,0.004490899],"category_scores_gemma":[0.001219092,0.0005969361,0.0007676314,0.0003831,0.0004186488,0.0003220086,0.0003592034,0.0006138181,0.001324805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008691835,"about_ca_system_score_gemma":0.001714501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004716811,"about_ca_topic_score_gemma":0.003201906,"domain_scores_codex":[0.9993563,0.00008421041,0.00005597097,0.0001778103,0.0002699698,0.00005570886],"domain_scores_gemma":[0.9992687,0.0002064524,0.00009243379,0.00006750622,0.0003410228,0.00002383719],"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":[0.0002507752,0.0001690555,0.001558371,0.001005148,0.00005707579,0.0006106489,0.0003997314,0.4189821,0.1144213,0.01457923,0.004536525,0.4434301],"study_design_scores_gemma":[0.0001132807,0.0004725214,0.001044446,0.00005139073,0.0000617521,0.0003838367,0.00006054407,0.8966064,0.06600267,0.002285335,0.03285933,0.00005833404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01703206,0.0001463051,0.9743669,0.00005890476,0.00005141471,0.0004388485,0.0002056186,0.002180096,0.005519863],"genre_scores_gemma":[0.2110054,0.0001212089,0.7825189,0.00004414713,0.00001163769,0.0005098062,0.0005356288,0.0003055554,0.004947782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004716811,"threshold_uncertainty_score":0.01502359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785650517583584,"score_gpt":0.2533704892445457,"score_spread":0.2155139840687099,"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."}}