{"id":"W2962737087","doi":"10.5539/ibr.v12n8p71","title":"Engagement of Mexican Millennials at Work in Relation to their Expectations","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Employee retention; Workforce; Factorial analysis; Turnover; Sample (material); Work (physics); Psychology; Regression analysis; Relation (database); Demographic economics; Marketing; Business; Management; Statistics; Economics; Computer science; Mathematics; Engineering; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000936717,0.0001505932,0.0001766208,0.0003824392,0.001029115,0.001372455,0.0002936311,0.0003254036,0.002379524],"category_scores_gemma":[0.002517098,0.0001092987,0.0001644057,0.0002247299,0.000343699,0.0004020178,0.001116783,0.0006551907,0.0002108644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004769996,"about_ca_system_score_gemma":0.0003926823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006850785,"about_ca_topic_score_gemma":0.009266074,"domain_scores_codex":[0.9997,0.00007673997,0.00001468324,0.00002922944,0.00004289612,0.0001365575],"domain_scores_gemma":[0.9985641,0.0002747661,0.0005367318,0.00005854119,0.0001484505,0.0004174649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002725199,0.0002041878,0.9638639,0.00003131515,0.00002000749,0.0002175226,0.02158445,0.00007642509,0.0006567177,0.0002232897,0.0004016769,0.01244793],"study_design_scores_gemma":[0.000004526302,0.0002316828,0.9487175,0.00002642573,0.00000704108,0.00009695766,0.0487484,0.000142496,0.0001148411,0.00006904685,0.001833249,0.000007748004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993306,0.00005364555,0.00002285459,0.00006910867,0.000002828927,0.000002346717,0.00002130412,6.381438e-7,0.0004966388],"genre_scores_gemma":[0.9990637,0.00007580112,0.00002913188,0.00003086489,0.000003928276,0.000006561257,0.00005373464,8.929237e-7,0.0007354561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006850785,"threshold_uncertainty_score":0.01362181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0642293042916835,"score_gpt":0.3449810728520793,"score_spread":0.2807517685603958,"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."}}