{"id":"W4317934334","doi":"10.3390/app13031545","title":"Smart Manufacturing and Industry 4.0","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Industry 4.0; Smart manufacturing; Business; Manufacturing; Manufacturing engineering; Engineering; Marketing","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":[0.0001371431,0.00005887374,0.00004753204,0.00008832234,0.00009125681,0.0000974203,0.0001069815,0.00007716482,0.00003146078],"category_scores_gemma":[0.000001943812,0.00005442659,0.000006967822,0.0002763651,0.0001141671,0.0002023109,0.00001948886,0.0001465462,0.0001730783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006847619,"about_ca_system_score_gemma":0.000006165511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.869609e-7,"about_ca_topic_score_gemma":7.478895e-7,"domain_scores_codex":[0.9995236,0.000001274518,0.00008240301,0.00009088441,0.0001307922,0.000171044],"domain_scores_gemma":[0.9998614,0.00003197544,0.000006126549,0.00005257445,0.000001994905,0.00004589232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007047503,0.0000302407,0.01155661,0.000511707,0.0000920459,0.00002579435,0.004683472,0.1994142,0.01502576,0.1994638,0.05853147,0.5106578],"study_design_scores_gemma":[0.001096074,0.00007287736,0.1020322,0.0001424912,0.00002225384,0.00005576485,0.01787254,0.0269368,0.6457087,0.04291956,0.161248,0.001892662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6460885,0.000005643434,0.0000483494,0.00005898326,0.0001052161,0.00003770844,0.00000179598,0.0003723129,0.3532815],"genre_scores_gemma":[0.9996456,0.000006379236,0.0001113697,0.00003241823,0.00002521447,0.00001315747,0.000001292294,0.000005531403,0.0001590277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.630683,"threshold_uncertainty_score":0.2224629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698474696406748,"score_gpt":0.232132564573149,"score_spread":0.2051478176090815,"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."}}