{"id":"W3208631193","doi":"10.4018/978-1-7998-8497-2.ch004","title":"Industry 5.0","year":2021,"lang":"en","type":"book-chapter","venue":"Advances in logistics, operations, and management science book series","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Industry 4.0; Mass customization; Industrial Revolution; Scope (computer science); Personalization; Digital Revolution; Key (lock); Computer science; Component (thermodynamics); Engineering; Knowledge management; Telecommunications; World Wide Web; Computer security; Political science","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":[0.0001607399,0.0002608914,0.000224025,0.0002828722,0.000191102,0.0003487233,0.0002689944,0.0002796134,0.0001724499],"category_scores_gemma":[0.00002519653,0.0002837423,0.00002396116,0.0001095244,0.001029429,0.003799686,0.0001125812,0.0005685943,0.00002460417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291109,"about_ca_system_score_gemma":0.00004764637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000111173,"about_ca_topic_score_gemma":0.00006518007,"domain_scores_codex":[0.9986774,0.000003658396,0.00039944,0.0003447151,0.000315472,0.0002593155],"domain_scores_gemma":[0.9995139,0.00001837209,0.00002972438,0.0002902642,0.00006949721,0.0000782116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001348066,0.000004680377,0.00001338708,0.000220177,0.00001061101,0.00002511282,0.00005153972,0.06590559,0.000001811917,0.9262884,0.0005233605,0.006953988],"study_design_scores_gemma":[0.000129511,0.00002315245,0.00003075448,0.0003764171,0.00001961005,0.00001192288,0.0004708257,0.0008087544,0.00006961006,0.01064302,0.9869853,0.0004311177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006017307,0.007464569,0.005940184,0.0001356661,0.0008135596,0.0002958184,0.00004530757,0.0001272064,0.9851717],"genre_scores_gemma":[0.005344109,0.1997093,0.008599435,0.0005420454,0.0001746218,0.0001093967,0.0001155458,0.00006451,0.785341],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9864619,"threshold_uncertainty_score":0.9999615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643892894122974,"score_gpt":0.245333367105881,"score_spread":0.2288944381646513,"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."}}