{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00488822,0.00005512535,0.00006307572,0.0001564476,0.0003666353,0.0001711257,0.0002225409,0.00004291421,0.00004224614],"category_scores_gemma":[0.00132952,0.00003898375,0.000007050378,0.0002943723,0.0004035271,0.0002663586,0.000153537,0.0001883986,0.00001919538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004940996,"about_ca_system_score_gemma":0.0003438922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00219836,"about_ca_topic_score_gemma":0.001346545,"domain_scores_codex":[0.9987313,0.000387769,0.0001094157,0.000171442,0.0004190344,0.0001810011],"domain_scores_gemma":[0.9988933,0.0007059633,0.00002359757,0.00003931258,0.000281363,0.00005650885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001939871,0.0001010924,0.7853159,0.00002829792,0.00006114114,0.00001352279,0.04407538,0.0002972067,0.0008444829,0.02344473,0.001768449,0.1438558],"study_design_scores_gemma":[0.0008216815,0.00003637142,0.8344558,0.0001128663,0.000001502225,0.00001300818,0.007347924,0.0007493321,0.0001528164,0.01447474,0.1416829,0.0001511021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966521,0.0002137292,0.0001059656,0.01614594,0.000356545,0.0003892592,0.000001290956,0.00001344385,0.01625279],"genre_scores_gemma":[0.9984118,0.0003741008,0.0001187699,0.0000630834,0.0001988873,0.0001339556,0.000002381153,0.000003655899,0.0006933818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1437047,"threshold_uncertainty_score":0.3323278,"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."}}