{"id":"W7132942243","doi":"","title":"Modular architecture design of reconfigurable machine tools for agile manufacturing","year":2006,"lang":"","type":"dissertation","venue":"TSpace","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Machine tool; Modular design; Component (thermodynamics); Agile software development; Identification (biology); Machining; Selection (genetic algorithm); Agile manufacturing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0007101918,0.00151549,0.002138459,0.0007896986,0.0003454701,0.0003399596,0.0008529173,0.001344975,0.0009253204],"category_scores_gemma":[0.0001357718,0.001538993,0.0008270676,0.0002446648,0.00007489794,0.0003075966,0.00002288934,0.001111279,0.00008648798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772673,"about_ca_system_score_gemma":0.0001781759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002242106,"about_ca_topic_score_gemma":0.0001843412,"domain_scores_codex":[0.9949485,0.0001906523,0.001729858,0.001172851,0.0005736635,0.001384497],"domain_scores_gemma":[0.9961544,0.001224948,0.0009625313,0.001210093,0.000200088,0.0002478865],"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":[0.0003439959,0.00008228939,0.000002122268,0.01075816,0.0006142362,0.00001133166,0.001933689,0.7903013,0.173634,0.0000803476,0.001178973,0.02105952],"study_design_scores_gemma":[0.001620362,0.0003604788,0.00024478,0.00257311,0.0004503823,0.00003337171,0.0008292356,0.03725285,0.9396199,0.001142955,0.01417933,0.001693244],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4386856,0.02733569,0.3758821,0.0004552041,0.0126254,0.01622932,0.001025062,0.001196852,0.1265647],"genre_scores_gemma":[0.85096,0.0006956322,0.008087355,0.00002306497,0.001006614,0.0007290216,0.003090436,0.0007370083,0.1346709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7659858,"threshold_uncertainty_score":0.999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602836646253002,"score_gpt":0.2690657227020403,"score_spread":0.2430373562395103,"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."}}