{"id":"W4413558175","doi":"10.64628/aam.mfxxgeaf6","title":"Companies are increasingly turning to social media to screen potential employees","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Social media; Business; Advertising; 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":[0.005045156,0.0008762338,0.0006301876,0.003892548,0.002417605,0.008739599,0.001687655,0.005296955,0.04051568],"category_scores_gemma":[0.02078935,0.0006302398,0.0005643521,0.004023947,0.003180165,0.007638891,0.004361794,0.004045352,0.01193285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411127,"about_ca_system_score_gemma":0.001407037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00369544,"about_ca_topic_score_gemma":0.005271756,"domain_scores_codex":[0.9930138,0.002286209,0.0002315752,0.001069663,0.002625489,0.0007733675],"domain_scores_gemma":[0.9286258,0.04814489,0.00826912,0.005472604,0.005525326,0.003962347],"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":[0.0004501933,0.0005611473,0.05382033,0.001214968,0.0001497059,0.0007526423,0.01220364,0.001338257,0.02329358,0.1289439,0.2336235,0.5436481],"study_design_scores_gemma":[0.00007514896,0.000322199,0.0509264,0.0008812157,0.0001269679,0.00134145,0.0151541,0.003585364,0.01144882,0.06413108,0.8518517,0.0001554992],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.2484478,0.01995343,0.06112675,0.1515711,0.003770044,0.0003109392,0.00244356,0.002713447,0.509663],"genre_scores_gemma":[0.7924837,0.01351769,0.01949772,0.04453342,0.007450562,0.0002443933,0.001815069,0.0008558415,0.1196016],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04051568,"threshold_uncertainty_score":0.1355385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06337201497188318,"score_gpt":0.3225998823978937,"score_spread":0.2592278674260105,"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."}}