{"id":"W3026003203","doi":"10.17722/ijme.v14i2.1134","title":"Problems in Recruitment","year":2020,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Casual; Mistake; Quality (philosophy); Process (computing); Selection (genetic algorithm); Business; Marketing; Competitive advantage; Public relations; Computer science; Political science","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":[0.0004143256,0.0001506219,0.000180967,0.0005014617,0.00003049174,0.0002304831,0.001006805,0.0000255719,0.000484697],"category_scores_gemma":[0.00003633103,0.0001378665,0.0001169465,0.0002857532,0.0000302497,0.0007994275,0.0004177646,0.0001644405,0.0004043683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006586636,"about_ca_system_score_gemma":0.000006949483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002012234,"about_ca_topic_score_gemma":0.00000550859,"domain_scores_codex":[0.9981685,0.00001138649,0.0006037068,0.0002072993,0.0008103221,0.0001987989],"domain_scores_gemma":[0.9991953,0.00001683134,0.0004799532,0.0001102639,0.0001732801,0.00002437817],"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":[0.00114946,0.002628885,0.2259496,0.002041599,0.002011474,0.008470889,0.00275618,0.06596135,0.0005051325,0.1614204,0.1823965,0.3447085],"study_design_scores_gemma":[0.002054776,0.0000498701,0.01617362,0.0003409249,0.0000562868,0.000006510229,0.0008241871,0.003338177,0.00001591561,0.003214509,0.9736729,0.00025229],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5267653,0.00106879,0.01198491,0.07721242,0.004149044,0.002290274,0.000003276716,0.0001748443,0.3763512],"genre_scores_gemma":[0.9913269,0.000286612,0.0003163625,0.006349761,0.001220412,0.00001784745,0.000003872849,0.00001678996,0.0004614133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7912765,"threshold_uncertainty_score":0.5622033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.068669526064932,"score_gpt":0.2640135732169942,"score_spread":0.1953440471520622,"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."}}