{"id":"W3135349530","doi":"10.32628/cseit1949184","title":"Talent Retention of Millennials - An Overview","year":2019,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Computer Science Engineering and Information Technology","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Marketing; Business; Employee retention; Public relations; Psychology; Political science","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":[0.003694134,0.0000572536,0.0001127822,0.005621951,0.00006142716,0.0005481002,0.0008444806,0.00003462734,0.0000275632],"category_scores_gemma":[0.0000923671,0.00005010209,0.00002703177,0.001430371,0.0002559033,0.005668726,0.0003919643,0.0001753609,0.0000322214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006470209,"about_ca_system_score_gemma":0.00004365841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001016302,"about_ca_topic_score_gemma":8.30249e-7,"domain_scores_codex":[0.9982386,0.000006182589,0.0004479579,0.0001187224,0.001004512,0.0001840889],"domain_scores_gemma":[0.9985119,0.00001971342,0.000234254,0.0001567856,0.001061363,0.00001600608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006690946,0.000262272,0.01933449,0.0005870466,0.0000543107,0.0000248667,0.0007915772,0.05734155,0.01436516,0.4864335,0.0006551023,0.4200832],"study_design_scores_gemma":[0.001819393,0.0003026792,0.0383276,0.001258706,0.000007246741,0.00006531666,0.000924608,0.7966698,0.002925677,0.00978692,0.1475947,0.0003173165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945949,0.00008378822,0.002965648,0.0006598261,0.001345111,0.0001166113,6.3759e-7,0.00001506417,0.0002184298],"genre_scores_gemma":[0.9985113,0.00006098652,0.001274115,0.00003251667,0.0001045059,0.000001751464,0.000002702021,0.000002253085,0.000009939179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7393283,"threshold_uncertainty_score":0.5285342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04620299257670801,"score_gpt":0.308834201357063,"score_spread":0.262631208780355,"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."}}