{"id":"W2782381144","doi":"","title":"The recruitment and selection process Of BRAC University","year":2017,"lang":"en","type":"article","venue":"BRAC University Institutional Repository (BRAC University)","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consortium canadien en neurodégénérescence associée au vieillissement; Cisco Systems","keywords":"Selection (genetic algorithm); Process (computing); Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.02359273,0.0005260788,0.0008323642,0.004333333,0.007112459,0.005404508,0.001959775,0.001494844,0.0864595],"category_scores_gemma":[0.04144365,0.001009135,0.0004271333,0.002362703,0.001091695,0.001321175,0.006930242,0.003082785,0.05681375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003989905,"about_ca_system_score_gemma":0.02783836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005154332,"about_ca_topic_score_gemma":0.0104431,"domain_scores_codex":[0.9871541,0.004493056,0.0008002297,0.001079523,0.003910798,0.002562366],"domain_scores_gemma":[0.9673073,0.003356654,0.0007031751,0.00255802,0.01459256,0.01148233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002662246,0.00258067,0.02233328,0.0006091289,0.00001724076,0.00204894,0.04043557,0.000438949,0.01093674,0.008375508,0.4241595,0.4854023],"study_design_scores_gemma":[0.0003549022,0.001702462,0.05782609,0.001025985,0.00001864779,0.0004918461,0.04115374,0.002869587,0.004814884,0.003166773,0.8863693,0.0002058218],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5464469,0.001846501,0.03919898,0.03618478,0.01289861,0.1427939,0.01054034,0.002522378,0.2075677],"genre_scores_gemma":[0.248164,0.001618387,0.07663684,0.008804268,0.001701686,0.1298176,0.006172454,0.001139089,0.5259457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0864595,"threshold_uncertainty_score":0.2892358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417953143717648,"score_gpt":0.2096841406421781,"score_spread":0.1855046092050016,"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."}}