{"id":"W4401047917","doi":"10.5430/jct.v13n3p46","title":"Emotional Intelligence and Leadership Succession Planning: Strategies for Identifying and Developing Future Leaders","year":2024,"lang":"en","type":"article","venue":"Journal of Curriculum and Teaching","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Succession planning; Ecological succession; Emotional intelligence; Psychology; Management; Knowledge management; Process management; Sociology; Political science; Public relations; Business; Computer science; Social psychology; Ecology; Economics; Biology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006604972,0.0001405752,0.0001667146,0.0003537028,0.0003464414,0.001303432,0.00008920488,0.0000482481,0.000007341065],"category_scores_gemma":[0.00003447803,0.000107087,0.00005242726,0.00007196583,0.00005790473,0.001783239,0.00008062251,0.0003002812,0.000001227464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001479871,"about_ca_system_score_gemma":0.00001657233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001262477,"about_ca_topic_score_gemma":0.000005043039,"domain_scores_codex":[0.999158,0.00001312659,0.0002855549,0.0001721756,0.0001888741,0.0001823211],"domain_scores_gemma":[0.9996734,0.00005812343,0.0001625586,0.00003608259,0.00004921472,0.00002062091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005767681,0.00007839208,0.03870084,0.009865691,0.0003065209,0.0002005447,0.008650427,0.0003462907,0.0002193992,0.6730744,0.006642496,0.2618573],"study_design_scores_gemma":[0.001471088,0.0001800045,0.0444675,0.01413928,0.0007030066,0.0004793429,0.5264562,0.04057752,0.00004076164,0.08423166,0.2859165,0.001337151],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9281734,0.01107374,0.05546377,0.003372265,0.0006706226,0.0001746512,5.173193e-7,0.00004498102,0.001026041],"genre_scores_gemma":[0.996776,0.00009514364,0.0009354519,0.0003040154,0.001799945,0.000002276738,0.000002798981,0.00001385346,0.00007051033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5888427,"threshold_uncertainty_score":0.9997333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184773126674783,"score_gpt":0.3255836345177417,"score_spread":0.2071063218502634,"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."}}