{"id":"W2940813625","doi":"10.1177/2051570719843066","title":"Linking employer labels in recruitment advertising, governance mode and organizational attractiveness","year":2019,"lang":"en","type":"article","venue":"Recherche et Applications en Marketing (English Edition)","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Attractiveness; Prestige; Corporate governance; Perception; Business; Mode (computer interface); Work (physics); Marketing; 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":[0.003431054,0.0002164016,0.0002282255,0.0001638894,0.000173004,0.0002671767,0.0002368079,0.0002397346,0.0002677342],"category_scores_gemma":[0.001473842,0.0002390337,0.00004328763,0.0008763645,0.00003708701,0.001175763,0.0001588052,0.0005829631,0.00015295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003054896,"about_ca_system_score_gemma":0.00007180526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009370544,"about_ca_topic_score_gemma":0.00007523779,"domain_scores_codex":[0.9983118,0.0002170216,0.000367571,0.0005139695,0.0003013525,0.0002883536],"domain_scores_gemma":[0.9975374,0.00155975,0.0002459316,0.0002913615,0.0003426664,0.00002292547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002389039,0.0007157022,0.8520164,0.001375826,0.0000972913,0.000005737154,0.001666306,0.002500609,0.003252218,0.08920941,0.006805264,0.04211634],"study_design_scores_gemma":[0.00285196,0.00001900319,0.5494316,0.001799733,0.000110599,0.000009304134,0.0009754685,0.005019461,0.0004867092,0.03269644,0.4052057,0.001394049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8882336,0.0003328713,0.01043592,0.003795812,0.001032762,0.002683791,0.00004109521,0.0007185994,0.09272556],"genre_scores_gemma":[0.9862982,0.0003016886,0.007735749,0.0009891387,0.002371225,0.0007173573,0.000372379,0.00009573069,0.001118507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3984004,"threshold_uncertainty_score":0.9747511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05668229670638181,"score_gpt":0.3180301784235748,"score_spread":0.261347881717193,"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."}}