{"id":"W2228754937","doi":"","title":"Literature Review on SNS Recruitment","year":2016,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Normative; China; Empirical research; Public relations; Selection (genetic algorithm); Mechanism (biology); Sociology; Marketing; Political science; Business; Law; Epistemology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004988531,0.000888468,0.001948831,0.01838996,0.001245118,0.00305189,0.001424972,0.001833515,0.01666516],"category_scores_gemma":[0.02132791,0.0005639414,0.001648642,0.0183367,0.001045709,0.004176274,0.001701619,0.001360294,0.003208032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002127535,"about_ca_system_score_gemma":0.009724361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004692741,"about_ca_topic_score_gemma":0.01314792,"domain_scores_codex":[0.9964114,0.001372709,0.0009212244,0.0003008801,0.000858132,0.0001356346],"domain_scores_gemma":[0.9737908,0.02015082,0.001884288,0.0002734295,0.003468514,0.0004321751],"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":[0.0001393793,0.00009919372,0.002346568,0.229806,0.0003572955,0.0005509012,0.002039006,0.0002807638,0.0004400677,0.007145783,0.07036029,0.6864347],"study_design_scores_gemma":[0.00002257115,0.00009016584,0.007977095,0.3096113,0.0009155009,0.001303095,0.003678114,0.0001548488,0.0002088455,0.003355993,0.6726379,0.00004459827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001328057,0.984008,0.0004759134,0.003884987,0.0008342437,0.0001038937,0.0005389034,0.00002370184,0.008802308],"genre_scores_gemma":[0.006574774,0.9884167,0.001066691,0.001835405,0.0004772531,0.0001327866,0.0005783562,0.00001054876,0.0009074827],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01838996,"threshold_uncertainty_score":0.05575049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1697307206701755,"score_gpt":0.3866897223015751,"score_spread":0.2169590016313996,"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."}}