{"id":"W3009745509","doi":"10.1007/s10676-020-09526-2","title":"Cybervetting job applicants on social media: the new normal?","year":2020,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Economic and Social Research Council; Canada Excellence Research Chairs, Government of Canada","keywords":"Social media; Conceptualization; Public relations; Grounded theory; Stakeholder; Sociology; Context (archaeology); Internet privacy; Psychology; Qualitative research; Political science; Social science; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01522478,0.0002438654,0.0003884201,0.001093175,0.00447414,0.01001865,0.001016326,0.002657215,0.009123715],"category_scores_gemma":[0.05090922,0.0003446969,0.000354334,0.001088321,0.0108082,0.01388193,0.004543579,0.004852441,0.001061159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002034161,"about_ca_system_score_gemma":0.003649389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00266984,"about_ca_topic_score_gemma":0.004867318,"domain_scores_codex":[0.9852565,0.009427697,0.0004565987,0.0008028735,0.002616632,0.001439693],"domain_scores_gemma":[0.9541914,0.0247065,0.006849371,0.002627546,0.004753202,0.006871956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002646275,0.0004774863,0.236451,0.0006352378,0.00005579786,0.002369117,0.3969171,0.0001459341,0.002932958,0.1086985,0.03357563,0.2174766],"study_design_scores_gemma":[0.00001853362,0.0002916532,0.08303826,0.002520815,0.00003746054,0.002222923,0.7461489,0.0009126745,0.001141193,0.04106845,0.1224934,0.0001056925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7120431,0.00309268,0.005251308,0.227498,0.001402753,0.00007007885,0.0001178962,0.00005951249,0.05046475],"genre_scores_gemma":[0.9849416,0.001081174,0.0005710339,0.0105924,0.0004149828,0.00003583711,0.0000261612,0.00002791418,0.002308999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01522478,"threshold_uncertainty_score":0.08051729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05110499895823541,"score_gpt":0.3175729483263938,"score_spread":0.2664679493681584,"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."}}