{"id":"W2066272284","doi":"10.1016/j.cirp.2011.05.004","title":"Assembly system design and operations for product variety","year":2011,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":510,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Variety (cybernetics); Mass customization; Remanufacturing; Manufacturing engineering; Context (archaeology); Product (mathematics); Engineering; Modular design; Systems engineering; Design for assembly; Component (thermodynamics); Computer science; Personalization; Mechanical engineering; Design for manufacturability; World Wide Web","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":[0.0007039392,0.0007097012,0.0006175131,0.0008516264,0.0008608305,0.001664567,0.000672531,0.0005653786,0.01120949],"category_scores_gemma":[0.001729572,0.0004025463,0.0009102898,0.0008530384,0.0006483337,0.001256057,0.000660163,0.000641003,0.0007932088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080385,"about_ca_system_score_gemma":0.001491153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003811332,"about_ca_topic_score_gemma":0.005359032,"domain_scores_codex":[0.9993781,0.0002475044,0.00002050562,0.0001079409,0.0001738979,0.00007196979],"domain_scores_gemma":[0.9995971,0.0001949452,0.0000452803,0.00004490968,0.00009858111,0.00001915435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003473439,0.0001030078,0.001493954,0.0002497946,0.00003420686,0.0001109674,0.000227307,0.7547854,0.01014919,0.1053816,0.002408375,0.1247088],"study_design_scores_gemma":[0.00003556792,0.0005490995,0.001860407,0.00004039455,0.00005695088,0.00009173905,0.0002234466,0.941905,0.005419743,0.03955377,0.01023492,0.00002904808],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1016042,0.0009544174,0.8507045,0.0003713304,0.00009697233,0.0001517085,0.0001633255,0.0002975333,0.04565597],"genre_scores_gemma":[0.8427812,0.000567341,0.1415033,0.00003864727,0.00006221358,0.0001335666,0.0001611627,0.0001471762,0.0146054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01120949,"threshold_uncertainty_score":0.03749949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07002422213141116,"score_gpt":0.2450151512027987,"score_spread":0.1749909290713875,"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."}}