{"id":"W4413845557","doi":"10.1080/19397038.2025.2551000","title":"Human‑centric Industry 5.0 manufacturing: a multi‑level framework from design to consumption within Society 5.0","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Engineering","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Consumption (sociology); Manufacturing engineering; Industry 4.0; Business; Engineering; Embedded system; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003052549,0.0002222399,0.0002254843,0.0005205109,0.00005348573,0.0002560026,0.0005411184,0.0003350574,0.00008116072],"category_scores_gemma":[0.0001555531,0.0002444919,0.0001373624,0.0002409622,0.00001794622,0.0007389197,0.00006868845,0.001119992,0.00001302476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008364663,"about_ca_system_score_gemma":0.00008599781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001019869,"about_ca_topic_score_gemma":2.93886e-7,"domain_scores_codex":[0.9984463,0.0000127927,0.000678264,0.0001289781,0.0004185523,0.0003151538],"domain_scores_gemma":[0.9991168,0.0001503214,0.0001075659,0.0001329359,0.0003480136,0.0001443065],"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":[0.00001916837,0.00004092642,0.0004283722,0.00006993503,0.0004899079,0.0001062573,0.0007015879,0.9908895,0.0007596271,0.002988828,0.00229713,0.00120878],"study_design_scores_gemma":[0.00951481,0.000268944,0.06541231,0.007355444,0.0004118485,0.0003258975,0.0191257,0.290609,0.5455481,0.01029454,0.04797172,0.003161616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1830551,0.0001430267,0.814472,0.0001824131,0.001526792,0.0001774151,0.00001820912,0.0001303141,0.0002948222],"genre_scores_gemma":[0.9565034,0.00001886133,0.04243254,0.0001302007,0.0002679963,0.00001572887,0.000005607259,0.00003561571,0.0005900441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7734483,"threshold_uncertainty_score":0.9970092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785764175856726,"score_gpt":0.2731493010058003,"score_spread":0.245291659247233,"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."}}