{"id":"W1602982561","doi":"10.1108/intr-07-2013-0142","title":"Leveraging social media to enhance recruitment effectiveness","year":2014,"lang":"en","type":"article","venue":"Internet Research","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Entertainment; Event (particle physics); Social media; Originality; Salary; Context (archaeology); Value (mathematics); Psychology; Continuance; Sample (material); Advertising; Marketing; Social psychology; Public relations; Business; Political science; Computer science; World Wide Web","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":[0.01097404,0.0004042502,0.0003541188,0.001505454,0.001827903,0.003254752,0.0009131195,0.0009329328,0.01071704],"category_scores_gemma":[0.03301573,0.0002256413,0.0003193019,0.0006354177,0.000625257,0.002044054,0.00252627,0.0006194477,0.002268254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006882101,"about_ca_system_score_gemma":0.001763742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003784358,"about_ca_topic_score_gemma":0.001071116,"domain_scores_codex":[0.9891664,0.007983096,0.0003329889,0.0003832295,0.001571966,0.000562312],"domain_scores_gemma":[0.9618161,0.02865289,0.003749278,0.001205636,0.001348257,0.003227827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007419513,0.007150433,0.06703969,0.001260991,0.0001186768,0.0004129132,0.01062027,0.0007871145,0.007205079,0.003081556,0.006687475,0.8948939],"study_design_scores_gemma":[0.001409096,0.02226209,0.581386,0.003129201,0.0008458555,0.001632553,0.06944213,0.02979504,0.03259905,0.02337744,0.2337363,0.0003852272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9114363,0.0009145528,0.01083413,0.005875973,0.0002984781,0.001504334,0.00007488665,0.0005283503,0.068533],"genre_scores_gemma":[0.9832922,0.0003316323,0.01019046,0.0006755518,0.0002191028,0.0005175686,0.00004646931,0.00003142796,0.004695665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01097404,"threshold_uncertainty_score":0.05803704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.173684584421611,"score_gpt":0.409015916893746,"score_spread":0.235331332472135,"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."}}