{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005402986,0.0002359297,0.0001785269,0.0003545045,0.0002545083,0.000742404,0.0004756116,0.0001377828,0.002275314],"category_scores_gemma":[0.0004863844,0.0001595311,0.00004315088,0.000370079,0.00008163598,0.002428802,0.000237,0.0002375111,0.0007779181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001874902,"about_ca_system_score_gemma":0.0003215367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005714162,"about_ca_topic_score_gemma":0.0001927536,"domain_scores_codex":[0.9981374,0.00001075171,0.0003901825,0.0003875359,0.000715016,0.0003591816],"domain_scores_gemma":[0.9985961,0.0001003083,0.0002079467,0.0001414036,0.0009271718,0.00002709407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00132819,0.0004839842,0.1940456,0.000295914,0.001779518,0.000587966,0.01809414,0.00005370815,0.007461535,0.04916013,0.2737252,0.4529841],"study_design_scores_gemma":[0.002096764,0.0000128876,0.06277359,0.0008106002,0.00002451954,0.00002572381,0.002148475,0.0001067249,0.001332517,0.0009469743,0.9290352,0.0006860429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9235522,0.00008024836,0.005615793,0.02301589,0.01424111,0.0003813923,0.0000301286,0.0004327546,0.03265054],"genre_scores_gemma":[0.9773382,0.00003808131,0.0006433444,0.005308195,0.001548402,0.00003121618,0.0002648785,0.00003874441,0.01478897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.65531,"threshold_uncertainty_score":0.9998822,"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."}}