{"id":"W2202768749","doi":"","title":"Social Networking Sites and Personnel Selection: An Initial Validity Assessment","year":2015,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Computer science; Data science; Psychology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.06116287,0.0005363822,0.0005721186,0.003329557,0.002168533,0.001869256,0.001137376,0.0009361695,0.002637546],"category_scores_gemma":[0.08905307,0.0004743067,0.001889153,0.002186038,0.002852404,0.002851307,0.003206588,0.001523621,0.0005302353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337934,"about_ca_system_score_gemma":0.004035104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002048095,"about_ca_topic_score_gemma":0.003674982,"domain_scores_codex":[0.9731372,0.01173643,0.002829285,0.001124599,0.01022303,0.0009494767],"domain_scores_gemma":[0.8603722,0.08668116,0.007909741,0.00577366,0.03736165,0.00190156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000571535,0.001169554,0.9242882,0.0003595581,0.0002026431,0.0001233708,0.009127299,0.0003407399,0.001332534,0.002849702,0.0007312958,0.05890349],"study_design_scores_gemma":[0.0003779657,0.006955899,0.9290175,0.001007201,0.0004291404,0.0005319628,0.02668004,0.01067236,0.004705313,0.004407785,0.01512027,0.00009447457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752172,0.0004341651,0.004787812,0.001094481,0.0001365451,0.003021054,0.0003322282,0.00002560679,0.01495088],"genre_scores_gemma":[0.9843013,0.0003241459,0.01120483,0.0002308054,0.00009136032,0.002108714,0.0003949306,0.00002447854,0.001319424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06116287,"threshold_uncertainty_score":0.323464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3011960911953595,"score_gpt":0.4142167896179536,"score_spread":0.1130206984225941,"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."}}