{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2364465,0.001015058,0.001667845,0.003237351,0.01042716,0.009024769,0.008336591,0.01141764,0.01814174],"category_scores_gemma":[0.3485465,0.00100624,0.00206252,0.005391045,0.01124452,0.009376176,0.01010981,0.01198431,0.01260454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007578138,"about_ca_system_score_gemma":0.02065359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004336465,"about_ca_topic_score_gemma":0.006171565,"domain_scores_codex":[0.6899082,0.2117532,0.02192451,0.0145686,0.05530878,0.006536598],"domain_scores_gemma":[0.6681433,0.2297387,0.01536331,0.02382149,0.04991564,0.01301765],"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":[0.0002088379,0.0004182316,0.009403137,0.00270658,0.00007095545,0.001379792,0.01174718,0.001041714,0.0004374692,0.1321816,0.2946323,0.5457722],"study_design_scores_gemma":[0.000101907,0.0002731988,0.006445582,0.005227096,0.00004572456,0.005428808,0.0118056,0.001850437,0.0005205916,0.1309231,0.8372433,0.0001347566],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.009240326,0.02909499,0.1062996,0.7108889,0.030394,0.002712839,0.0003077843,0.0008293795,0.1102321],"genre_scores_gemma":[0.1656199,0.03411593,0.1766498,0.4220282,0.0310158,0.00945303,0.0006560961,0.001243159,0.1592181],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2364465,"threshold_uncertainty_score":0.9415975,"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."}}