{"id":"W2535572740","doi":"10.1108/cdi-01-2016-0008","title":"What most attracts potential candidates? Innovative perks, training, or ethics?","year":2016,"lang":"en","type":"article","venue":"Career Development International","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Originality; Attraction; Business ethics; Value (mathematics); Training (meteorology); Psychology; Social psychology; Marketing; Public relations; Business; Computer science; Political science; Creativity","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":[0.004568583,0.0001950754,0.0004869952,0.0006156145,0.001248019,0.002325369,0.0004187172,0.0007242807,0.009301098],"category_scores_gemma":[0.0130826,0.0001772771,0.0003074234,0.0004742228,0.0008540318,0.0006263211,0.001076297,0.0007196653,0.001563915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004449299,"about_ca_system_score_gemma":0.001332262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003352462,"about_ca_topic_score_gemma":0.001119349,"domain_scores_codex":[0.9977099,0.001118957,0.0001009286,0.0001727207,0.0004909339,0.000406511],"domain_scores_gemma":[0.9826644,0.006276011,0.004026593,0.0005285349,0.0009391427,0.005565417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001235516,0.002791374,0.8545371,0.0006355705,0.0001026504,0.000552824,0.005644413,0.0003103632,0.002952303,0.002591961,0.00342097,0.1252249],"study_design_scores_gemma":[0.0001013059,0.002349294,0.9637852,0.0001950197,0.00009838292,0.0005766552,0.01881275,0.0008762889,0.00156368,0.002478722,0.009102578,0.00006009142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932098,0.0002255139,0.0004901763,0.0009650835,0.00005671445,0.00009161278,0.00003959141,0.00001250131,0.004909069],"genre_scores_gemma":[0.9968237,0.0001435449,0.0007109862,0.0003337077,0.00004830162,0.00007432183,0.00003039462,0.000004114366,0.001831082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009301098,"threshold_uncertainty_score":0.03111529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09513144914037523,"score_gpt":0.2875353343339003,"score_spread":0.192403885193525,"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."}}