{"id":"W1989356260","doi":"10.1109/icsssm.2013.6602607","title":"A fundamental flexibility measure: Machine flexibility","year":2013,"lang":"en","type":"article","venue":"","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flexibility (engineering); Measure (data warehouse); Computer science; Dependency (UML); Machine tool; Probabilistic logic; Risk analysis (engineering); Industrial engineering; Manufacturing engineering; Artificial intelligence; Engineering; Data mining; Business; Mathematics","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":[0.00222189,0.001131983,0.0006337623,0.004163662,0.0007207425,0.002762748,0.001174894,0.001519978,0.00477568],"category_scores_gemma":[0.01144008,0.0002702696,0.001014861,0.003393152,0.002353135,0.00491487,0.001664992,0.001288156,0.0009406991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523899,"about_ca_system_score_gemma":0.0007186507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211258,"about_ca_topic_score_gemma":0.0008115074,"domain_scores_codex":[0.9966488,0.0007474209,0.0002269702,0.0005088105,0.001576192,0.0002917264],"domain_scores_gemma":[0.9939628,0.002642177,0.001400932,0.0008268993,0.0008495155,0.0003175579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001446823,0.0001439328,0.01814947,0.0005571611,0.0002923803,0.0002544606,0.0004430601,0.1227835,0.00698762,0.6840914,0.01010763,0.1560447],"study_design_scores_gemma":[0.00002283508,0.0006163264,0.05067493,0.0003949502,0.0001346626,0.001596813,0.0006701373,0.1662342,0.006385175,0.6951166,0.07781382,0.0003396009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09257591,0.00592923,0.778322,0.002161475,0.0006910539,0.0002176947,0.002979644,0.0007302964,0.1163927],"genre_scores_gemma":[0.9464038,0.001333812,0.04467523,0.0002487082,0.0003949579,0.0002037078,0.001142104,0.00008075211,0.005516929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00477568,"threshold_uncertainty_score":0.01597619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693273130999302,"score_gpt":0.2253530030371405,"score_spread":0.1984202717271475,"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."}}