{"id":"W4311607002","doi":"10.1108/jmtm-04-2022-0173","title":"Effect of Industry 4.0 on the relationship between socio-technical practices and workers' performance","year":2022,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Originality; Productivity; Manufacturing; Knowledge management; Business; Quality (philosophy); Industry 4.0; Value (mathematics); Marketing; Engineering; Psychology; Computer science; Economics","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":[0.005019149,0.0002765745,0.0002114791,0.001351668,0.0006978605,0.001964433,0.0004928918,0.0004586927,0.00464065],"category_scores_gemma":[0.01772383,0.0001522197,0.0003726954,0.001029053,0.001407271,0.0007257831,0.002458916,0.0006025296,0.000505071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230563,"about_ca_system_score_gemma":0.001748817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002293541,"about_ca_topic_score_gemma":0.002721732,"domain_scores_codex":[0.9949625,0.00226393,0.0003967393,0.0005330091,0.001243448,0.0006003744],"domain_scores_gemma":[0.9552258,0.02041709,0.0161005,0.002313121,0.003231332,0.002712162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001409124,0.0001771617,0.9464751,0.0001544645,0.00005441413,0.00009111992,0.004167656,0.0002046863,0.001694908,0.0006463869,0.0001952522,0.04599784],"study_design_scores_gemma":[0.000005208148,0.0004480704,0.9903157,0.00009660528,0.00003070114,0.00005765578,0.006251935,0.0002375233,0.000592001,0.0003619709,0.001589973,0.00001257135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99347,0.0002168316,0.000696082,0.0002891058,0.000009015532,0.00003075478,0.00006908333,0.00001264146,0.005206628],"genre_scores_gemma":[0.9986624,0.00008467182,0.000673493,0.00004879825,0.000008794913,0.0000229631,0.00003708186,0.00000322731,0.0004585389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005019149,"threshold_uncertainty_score":0.02654409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574194040738135,"score_gpt":0.2657288549164509,"score_spread":0.2399869145090696,"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."}}