{"id":"W4236498087","doi":"10.4018/978-1-7998-4861-5.ch002","title":"Reflecting Emerging Digital Technologies in Leadership Models","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in business strategy and competitive advantage book series","topic":"Organizational Learning and Leadership","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emerging technologies; Face (sociological concept); Knowledge management; Management science; Computer science; Political science; Public relations; Data science; Business; Engineering ethics; Engineering; Sociology; Artificial intelligence; Social 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":[0.0007249608,0.0004982425,0.0001969699,0.0009797907,0.001189908,0.00541793,0.0007880462,0.001049976,0.0140832],"category_scores_gemma":[0.001086303,0.0001825787,0.0002888451,0.001135926,0.004442787,0.005475415,0.00204101,0.003160016,0.003023556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00243611,"about_ca_system_score_gemma":0.001167148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001562236,"about_ca_topic_score_gemma":0.003352276,"domain_scores_codex":[0.9994056,0.0002628845,0.00001467032,0.00006636228,0.0001965256,0.00005388386],"domain_scores_gemma":[0.9994791,0.0003095723,0.00003217832,0.00003666841,0.00006568297,0.00007684479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002200503,0.00001213376,0.00005628388,0.00003081412,0.00000123323,0.00004679422,0.001161043,0.0002311258,0.00004670933,0.9639868,0.02255229,0.01187258],"study_design_scores_gemma":[0.000005162529,0.00001993654,0.0001588183,0.0001560168,0.00000243712,0.0001426881,0.001582032,0.001389963,0.0001392268,0.3641146,0.6322806,0.000008626615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004262337,0.0142498,0.02367051,0.02751943,0.002357021,0.00003808731,0.000056477,0.0001192274,0.9277271],"genre_scores_gemma":[0.2961873,0.04347607,0.02997517,0.01188914,0.002500155,0.0002664073,0.0002787604,0.0002397194,0.6151873],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0140832,"threshold_uncertainty_score":0.047113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04441699702358718,"score_gpt":0.2513453275646203,"score_spread":0.2069283305410331,"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."}}