{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003813597,0.0001694016,0.0001701063,0.002444319,0.001247443,0.004922961,0.0004264196,0.0007038333,0.003076347],"category_scores_gemma":[0.01332245,0.0001038336,0.0002579344,0.001290104,0.001534,0.004531793,0.001699113,0.0007515427,0.000200871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949274,"about_ca_system_score_gemma":0.001367857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003193941,"about_ca_topic_score_gemma":0.004956814,"domain_scores_codex":[0.9985774,0.0007159715,0.00005586215,0.00008980088,0.0004256772,0.0001353013],"domain_scores_gemma":[0.9891713,0.007033183,0.002020777,0.0002084732,0.0009646913,0.0006015775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001614089,0.0003860648,0.4500062,0.001102444,0.00009571316,0.0005119345,0.08126085,0.0007018567,0.001798119,0.1015403,0.007227303,0.3552079],"study_design_scores_gemma":[0.0000242762,0.0003413027,0.6860166,0.001448165,0.0001097043,0.0009085889,0.179897,0.0035413,0.001292138,0.04789457,0.07844229,0.00008400858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8508742,0.004537832,0.004472935,0.007615519,0.0001747616,0.00006061549,0.0001020186,0.00001953028,0.1321425],"genre_scores_gemma":[0.9965498,0.00084302,0.0008198571,0.0003821648,0.00004357308,0.00001280678,0.0000261223,0.000003733297,0.001318895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004922961,"threshold_uncertainty_score":0.02016848,"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."}}