{"id":"W4243785846","doi":"10.5539/jms.v3n4p110","title":"Talent Management","year":2013,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Talent management; Business; Order (exchange); Context (archaeology); Workforce; Knowledge management; Plan (archaeology); Data collection; Marketing; Set (abstract data type); Thematic analysis; Finance; Qualitative research; Computer science; Economics","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":[0.001897764,0.0002594599,0.0002112197,0.002571772,0.002655938,0.004539602,0.001282435,0.0006625866,0.01667874],"category_scores_gemma":[0.004716761,0.00007953797,0.0002668832,0.001849508,0.0007096501,0.001796539,0.002327677,0.0007546386,0.003361236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003190883,"about_ca_system_score_gemma":0.003454462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002401782,"about_ca_topic_score_gemma":0.002891875,"domain_scores_codex":[0.9980987,0.000384748,0.00008824323,0.0002283507,0.0008201686,0.0003798087],"domain_scores_gemma":[0.9974299,0.0004270212,0.0003376569,0.0002053467,0.0008757068,0.0007243226],"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":[0.00006919468,0.0004902711,0.02350877,0.0002667147,0.00002638456,0.000268566,0.006556152,0.001310056,0.001639484,0.09458762,0.03744659,0.8338302],"study_design_scores_gemma":[0.0000352532,0.0008509063,0.1076939,0.000654714,0.00005222626,0.0009918013,0.01858993,0.006377207,0.003403432,0.06212629,0.7991195,0.0001049523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1472926,0.00294111,0.02820671,0.00822628,0.0004992142,0.0008949492,0.0004444835,0.0004334411,0.8110613],"genre_scores_gemma":[0.8475862,0.001487465,0.01366184,0.001072827,0.0002470016,0.0004682884,0.0003821742,0.00004822767,0.135046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01667874,"threshold_uncertainty_score":0.05579591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006324355039907472,"score_gpt":0.2044543357080859,"score_spread":0.1981299806681785,"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."}}