{"id":"W2121022550","doi":"10.1108/shr-02-2015-0017","title":"College recruiting using social media: how to increase applicant reach and reduce recruiting costs","year":2015,"lang":"en","type":"article","venue":"Strategic HR Review","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Social media; Originality; Business; Public relations; Position (finance); Marketing; Psychology; Political science; Social psychology","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":[0.01464323,0.0008937504,0.000674881,0.003168076,0.005108574,0.00935856,0.003077081,0.003525552,0.05734969],"category_scores_gemma":[0.05640775,0.0005657346,0.000933819,0.001744457,0.001632195,0.009923873,0.005975111,0.002494984,0.01877658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855837,"about_ca_system_score_gemma":0.009171044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002198233,"about_ca_topic_score_gemma":0.006112882,"domain_scores_codex":[0.9881591,0.006718378,0.0004597893,0.000653794,0.002809782,0.00119913],"domain_scores_gemma":[0.9544999,0.02085009,0.004086548,0.002452354,0.006466598,0.01164442],"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":[0.0001778951,0.001409281,0.01005075,0.001316609,0.00004302133,0.0002883162,0.002662117,0.0004285376,0.001250801,0.007827947,0.06473889,0.9098058],"study_design_scores_gemma":[0.00068309,0.003794646,0.06602664,0.01048701,0.0003306261,0.002221072,0.04700683,0.007996561,0.005559669,0.07092798,0.7845552,0.0004106328],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1743172,0.00936177,0.07595649,0.4148741,0.006261884,0.006784355,0.0004648735,0.00353255,0.3084469],"genre_scores_gemma":[0.6387326,0.01218797,0.1837879,0.06224867,0.005165591,0.009763566,0.0005084517,0.0008562887,0.08674876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05734969,"threshold_uncertainty_score":0.1918538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2196813240532218,"score_gpt":0.3329103230342083,"score_spread":0.1132289989809865,"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."}}