{"id":"W2143138533","doi":"10.5539/ibr.v8n3p156","title":"Recruitment and Selection and Their Effect in Achieving the Institutional Excellence","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Selection (genetic algorithm); Sample (material); Descriptive statistics; Population; Business; Psychology; Marketing; Statistics; Computer science; Political science; Mathematics; Sociology; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.06678737,0.0004867977,0.0008777442,0.00171111,0.002068034,0.003142131,0.001293258,0.001520849,0.006587176],"category_scores_gemma":[0.1425348,0.0002600773,0.0010343,0.001410943,0.001955041,0.002144971,0.003640403,0.001476179,0.001001964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00216525,"about_ca_system_score_gemma":0.008805688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391104,"about_ca_topic_score_gemma":0.001291674,"domain_scores_codex":[0.9210497,0.05944555,0.003832408,0.001944615,0.009243075,0.004484691],"domain_scores_gemma":[0.7979991,0.142544,0.02329866,0.006271712,0.01299562,0.01689086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001906222,0.003132805,0.7656297,0.0005745106,0.000235708,0.0003279507,0.007608757,0.00131348,0.0007807947,0.01007707,0.002109873,0.2063031],"study_design_scores_gemma":[0.0001898012,0.003177841,0.9684072,0.0004163937,0.0001539888,0.0002799358,0.007798657,0.0040677,0.001421432,0.004443996,0.009577871,0.00006519887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688882,0.001333019,0.005761362,0.003648967,0.0001276113,0.001166232,0.0001083907,0.00008033605,0.01888582],"genre_scores_gemma":[0.9922283,0.0002262175,0.003386062,0.0003583087,0.00006513896,0.0005083801,0.00004699029,0.0000144369,0.003166051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06678737,"threshold_uncertainty_score":0.3532096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2120622719393943,"score_gpt":0.4450101427032758,"score_spread":0.2329478707638815,"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."}}