{"id":"W2025721140","doi":"10.1108/17410380610688250","title":"Cellular manufacturing versus a hybrid system: a comparative study","year":2006,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cellular manufacturing; Job shop; Schedule; Scheduling (production processes); Flexible manufacturing system; Computer science; Manufacturing engineering; Manufacturing; Originality; Industrial engineering; Job shop scheduling; Reliability engineering; Engineering; Operations management; Flow shop scheduling; Business","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":[0.0002808586,0.0003716837,0.0005441729,0.001024912,0.0001537503,0.00006425443,0.0005425076,0.0001039377,0.0000136916],"category_scores_gemma":[0.000005247786,0.0003516187,0.0001194315,0.0001315388,0.000072616,0.0002009397,0.0001581456,0.0005234787,0.00002645182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004227685,"about_ca_system_score_gemma":0.000006631411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007345754,"about_ca_topic_score_gemma":0.000006277553,"domain_scores_codex":[0.9980796,0.00003615204,0.0007968039,0.0002674873,0.0003798591,0.000440096],"domain_scores_gemma":[0.9990344,0.00005385538,0.0003420788,0.0004513802,0.00005401119,0.00006424935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001238331,0.0001892259,0.00003484726,0.0002223958,0.0004901804,0.0009273176,0.00006324449,0.9929281,0.000079483,0.0009789919,0.0007917586,0.00317057],"study_design_scores_gemma":[0.008172626,0.00104519,0.002016912,0.0003116052,0.0008429958,0.0002374126,0.006918411,0.009158633,0.9547915,0.004652664,0.0106747,0.001177375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8116788,0.000290307,0.1799049,0.00004512746,0.001302675,0.0004916279,0.000003393151,0.0008102458,0.005472938],"genre_scores_gemma":[0.9860209,0.00003948926,0.01356652,0.000003039802,0.0001729482,0.0000242864,0.000004616104,0.00004856261,0.0001196304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9837695,"threshold_uncertainty_score":0.9998936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249678816978784,"score_gpt":0.2249362543725474,"score_spread":0.2124394662027596,"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."}}