{"id":"W2919231300","doi":"10.1109/mitp.2018.2876980","title":"Employer Branding: Understanding Employer Attractiveness of IT Companies","year":2019,"lang":"en","type":"article","venue":"IT Professional","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Employer branding; Business; Attractiveness; Workforce; Marketing; Work (physics); Retention Management; Public relations; Knowledge management; Economics; Computer science; New product development","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005777829,0.000285677,0.0004606419,0.0003543885,0.0003183316,0.0001337137,0.0003648626,0.0001599082,0.002161704],"category_scores_gemma":[0.00007026971,0.0002391311,0.0001727059,0.0004415495,0.000110087,0.001263373,0.0002644059,0.0003210377,0.0008558348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009606528,"about_ca_system_score_gemma":0.00006725659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001245162,"about_ca_topic_score_gemma":0.00004764342,"domain_scores_codex":[0.9979764,0.00003279197,0.0004841219,0.0004213158,0.0006276646,0.0004577593],"domain_scores_gemma":[0.9988791,0.0002655238,0.0003555916,0.0003128067,0.0001596079,0.00002731432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007042078,0.0004949605,0.8282607,0.001125192,0.0002038706,0.00001420543,0.0008723212,0.0002806746,0.005646199,0.09734704,0.06481139,0.0002393052],"study_design_scores_gemma":[0.01460306,0.0002117021,0.5905252,0.008012959,0.0005108818,0.00003294932,0.02970381,0.003439975,0.002795432,0.09048405,0.2559849,0.003695101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953748,0.00004905853,0.0005051325,0.003213624,0.00273634,0.000403367,0.000008622224,0.0001557659,0.03918009],"genre_scores_gemma":[0.9921625,0.000004276199,0.00007107881,0.001683077,0.0006320053,0.00001778373,0.00004537796,0.00005774933,0.005326102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2377355,"threshold_uncertainty_score":0.9999221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08753752345396006,"score_gpt":0.3004192124280022,"score_spread":0.2128816889740421,"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."}}