{"id":"W2969280601","doi":"10.1108/jbim-11-2018-0333","title":"Enticing the IT crowd: employer branding in the information economy","year":2019,"lang":"en","type":"article","venue":"Journal of Business and Industrial Marketing","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Reputation; Business; Marketing; Value (mathematics); Employer branding; Work (physics); Originality; Competitive advantage; Psychology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005417207,0.0001372711,0.0002468867,0.0003170629,0.0002408337,0.001170432,0.0002836171,0.00008868291,0.0000952541],"category_scores_gemma":[0.001009965,0.00007715875,0.00007011089,0.0005799769,0.0000348703,0.003291919,0.00008945721,0.0004413355,0.00001916963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002710388,"about_ca_system_score_gemma":0.00003826455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001917542,"about_ca_topic_score_gemma":0.00001538217,"domain_scores_codex":[0.9987324,0.00006707721,0.0006580257,0.00008630837,0.0002286667,0.0002275114],"domain_scores_gemma":[0.998459,0.0004790462,0.000711793,0.0001201047,0.0002204333,0.000009607302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001376746,0.00007583097,0.9071596,0.0004677167,0.00009537805,0.00001784864,0.001355121,0.001535685,0.0001415393,0.00230055,0.03154838,0.05392563],"study_design_scores_gemma":[0.007563315,0.00004081339,0.4543487,0.002222108,0.0001944745,0.000123024,0.01124484,0.00318231,0.00001371444,0.001006934,0.5195361,0.0005236713],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733589,0.00006044565,0.00006081093,0.008814583,0.0009978871,0.0002127827,3.118857e-7,0.000008506936,0.01648583],"genre_scores_gemma":[0.9960492,0.00002517717,0.00001406467,0.001963797,0.001893006,0.000002516563,0.000001965122,0.000009962067,0.0000403079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4879877,"threshold_uncertainty_score":0.9998664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819025280362222,"score_gpt":0.2167944895380479,"score_spread":0.1886042367344257,"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."}}