{"id":"W4382725283","doi":"10.3390/admsci13070159","title":"Mediating Effect of the Adoption of Industry 4.0 Technologies on the Relationship between Job Involvement and Job Performance of Millennials","year":2023,"lang":"en","type":"article","venue":"Administrative Sciences","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pontificia Universidad Católica del Perú","keywords":"Mediation; Structural equation modeling; Business; Tertiary sector of the economy; Affect (linguistics); Manufacturing; Psychology; Job performance; Service (business); Marketing; Demographic economics; Social psychology; Job satisfaction; Economics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003139554,0.0002467708,0.0001838277,0.0004836397,0.0007895837,0.001426811,0.0004324031,0.0002977387,0.004170597],"category_scores_gemma":[0.006346266,0.0001809969,0.0003178053,0.0002996578,0.0006509626,0.0003978816,0.001737473,0.0007133007,0.0002245195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009483195,"about_ca_system_score_gemma":0.001943998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01251385,"about_ca_topic_score_gemma":0.01961441,"domain_scores_codex":[0.9986371,0.0005373883,0.0000638231,0.0001235272,0.0002688419,0.0003692965],"domain_scores_gemma":[0.9917274,0.003309394,0.002180762,0.0003694823,0.0005408796,0.001872209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001318625,0.0004833199,0.9570148,0.00007805415,0.00004877085,0.0001845912,0.007558731,0.0001632503,0.0012779,0.000650171,0.0002287965,0.03217974],"study_design_scores_gemma":[0.000005658475,0.0001688705,0.9936283,0.00004740151,0.00001521527,0.00004488095,0.00473201,0.0002356791,0.0001851476,0.000109565,0.0008200807,0.000007218592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961774,0.0001177654,0.0001833142,0.0001756816,0.000005833412,0.00001499551,0.00003239399,0.000003604642,0.003289012],"genre_scores_gemma":[0.9989684,0.0000858659,0.0002603494,0.000035478,0.000003785295,0.0000116719,0.00002822135,0.000001101097,0.0006051801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01251385,"threshold_uncertainty_score":0.02488202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051680834860547,"score_gpt":0.3154543157589283,"score_spread":0.2102862322728736,"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."}}