{"id":"W2766723571","doi":"10.5465/ambpp.2017.34","title":"Talent Management – Unscrambled","year":2017,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Talent management; Human resource management; Knowledge management; Taxonomy (biology); Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003136544,0.0003936653,0.000304794,0.00233425,0.004249883,0.008430721,0.001525544,0.001328497,0.01240047],"category_scores_gemma":[0.01073972,0.000136462,0.0002679987,0.002704671,0.01054321,0.006129009,0.005383349,0.00192126,0.002350927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004310568,"about_ca_system_score_gemma":0.003431718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002351091,"about_ca_topic_score_gemma":0.002228565,"domain_scores_codex":[0.9959025,0.001490996,0.0002004221,0.0005193805,0.001259332,0.0006273345],"domain_scores_gemma":[0.9949558,0.001485245,0.00089189,0.0008397913,0.001025839,0.0008013666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003959103,0.00004088847,0.0017149,0.0001710477,0.00001019139,0.0002865884,0.009776663,0.0002796838,0.0005780269,0.8727877,0.01354084,0.1007741],"study_design_scores_gemma":[0.00001273359,0.000113024,0.007821515,0.0008255086,0.00001548987,0.0006200621,0.0136149,0.00166723,0.001077989,0.5110013,0.4631688,0.00006154078],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1091324,0.0108845,0.04505005,0.03495008,0.002190716,0.0001743317,0.000224241,0.0003180791,0.7970756],"genre_scores_gemma":[0.9207143,0.002370917,0.01070191,0.003218027,0.000630882,0.0001335446,0.0001302206,0.0001034966,0.0619967],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01240047,"threshold_uncertainty_score":0.04148376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772279653511966,"score_gpt":0.2589147578197759,"score_spread":0.2311919612846562,"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."}}