{"id":"W2116646835","doi":"10.1504/ijmr.2007.015086","title":"Integrating static and dynamic analysis in studying capacity scalability in RMS","year":2007,"lang":"en","type":"article","venue":"International Journal of Manufacturing Research","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Scalability; Computer science; Controller (irrigation); Transfer function; Block (permutation group theory); Distributed computing; 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":[0.0005697396,0.000578536,0.0004616239,0.0006651927,0.0002773667,0.0009247207,0.0005537041,0.000567492,0.001951366],"category_scores_gemma":[0.001564302,0.0002477315,0.0004728461,0.0006237582,0.0009273245,0.001553463,0.0005851285,0.0005725891,0.00019447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009759673,"about_ca_system_score_gemma":0.0004968378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004025683,"about_ca_topic_score_gemma":0.001823771,"domain_scores_codex":[0.9995396,0.0001299203,0.000016815,0.00005770982,0.0001731071,0.00008281148],"domain_scores_gemma":[0.999326,0.0003804838,0.0001382483,0.00004770762,0.00008659752,0.00002109608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002481973,0.00001981952,0.0006388464,0.00008114828,0.00001896909,0.0001122953,0.00003713822,0.9603644,0.006955476,0.02200394,0.0001323414,0.009610908],"study_design_scores_gemma":[0.000002166115,0.0000430433,0.0006365879,0.000007983622,0.000007589354,0.0000320518,0.00004333202,0.989052,0.002145044,0.007557405,0.0004628953,0.000009799796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1347033,0.0007882749,0.8413545,0.0003179159,0.00003447636,0.00007575045,0.00007069336,0.000284072,0.02237088],"genre_scores_gemma":[0.9897352,0.0002101156,0.008591467,0.00002774207,0.00001562216,0.00002996451,0.00002427496,0.00002758502,0.0013379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004025683,"threshold_uncertainty_score":0.008004546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03828885069632092,"score_gpt":0.339987369242582,"score_spread":0.3016985185462611,"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."}}