{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009247986,0.00006171602,0.00007938915,0.00007400342,0.001352008,0.00009726275,0.0003458725,0.0004092566,0.00003286393],"category_scores_gemma":[0.004211279,0.00004941216,0.00001870638,0.0004001483,0.0003033198,0.000715783,0.0001958658,0.001033732,0.00008334986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002243205,"about_ca_system_score_gemma":0.0001487489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002975521,"about_ca_topic_score_gemma":0.0003297439,"domain_scores_codex":[0.9992535,0.00007333931,0.0001790567,0.00007890728,0.000249941,0.0001652356],"domain_scores_gemma":[0.9994581,0.0002008484,0.0001147231,0.00009880224,0.00007028168,0.00005720092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000976898,0.000002886659,0.00006279592,0.00001152688,0.000004617815,1.545343e-7,0.06540986,5.341556e-7,0.0000152865,0.7641494,0.01116045,0.1591727],"study_design_scores_gemma":[0.0002670716,0.00004032869,0.0005991815,0.000006782408,0.000005370576,9.410281e-7,0.02039526,0.0001111434,0.0003594332,0.063058,0.9150507,0.0001058042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0237613,0.000101032,0.006923654,0.9441881,0.0003041734,0.0004046918,0.00002169653,0.0004561018,0.02383927],"genre_scores_gemma":[0.9896086,0.0005355043,0.0002565482,0.009117764,0.0004382128,0.00001667492,0.00001252697,0.000003323215,0.00001080002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9658473,"threshold_uncertainty_score":0.9999481,"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."}}