{"id":"W2468107582","doi":"10.1002/cjas.1379","title":"From value congruence to employer brand: Impact on organizational identification and word of mouth","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Congruence (geometry); Organizational identification; Word of mouth; Perception; Business; Identification (biology); Employer branding; Value (mathematics); Marketing; Psychology; Advertising; Organizational commitment; Social psychology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001587135,0.0002019485,0.0002692701,0.0007385677,0.0007764567,0.0005880778,0.000598449,0.00006862598,0.0001599101],"category_scores_gemma":[0.001483845,0.0001443609,0.00007283297,0.001353251,0.001962428,0.001565048,0.00001796848,0.00009639259,0.00001364301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003394066,"about_ca_system_score_gemma":0.002425405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01502697,"about_ca_topic_score_gemma":0.1358445,"domain_scores_codex":[0.9981952,0.0000496864,0.0005863089,0.0003936457,0.0002756919,0.0004994414],"domain_scores_gemma":[0.9980832,0.0002473026,0.0006119281,0.0001408206,0.0005443527,0.0003724383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000547517,0.0001866635,0.7620781,0.0001798896,0.0001638928,0.000296926,0.01850679,0.002536989,0.05026127,0.1422316,0.002835026,0.02017534],"study_design_scores_gemma":[0.0009683002,0.001933181,0.8866916,0.001234599,0.0001102714,0.000270825,0.006859486,0.000647315,0.009033033,0.09057841,0.0009068721,0.0007660947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944763,0.00003988903,0.0006942299,0.003118801,0.0003929383,0.0001475036,0.00009315123,0.000008378469,0.00102885],"genre_scores_gemma":[0.9981495,0.000004578146,0.0009635406,0.000343148,0.0004193964,0.000003038842,0.000005372537,0.0000102829,0.000101115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1246135,"threshold_uncertainty_score":0.991532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06033278961116447,"score_gpt":0.30438804662534,"score_spread":0.2440552570141755,"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."}}