{"id":"W2501235579","doi":"10.4018/978-1-4666-6134-9.ch002","title":"Reflecting Emerging Digital Technologies in Leadership Models","year":2014,"lang":"en","type":"book-chapter","venue":"Advances in business strategy and competitive advantage book series","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ambiguity; Computer science; Knowledge management; Emerging technologies; Business model; Data science; Management science; Business; Engineering; Marketing; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000230379,0.0005735052,0.0006576481,0.0006619238,0.0001974413,0.0003504459,0.0007342076,0.0002347882,0.00001114821],"category_scores_gemma":[0.00007787977,0.0005795378,0.00006217859,0.0003742277,0.0007582579,0.009625532,0.0005459423,0.0006192381,0.00001019262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008779764,"about_ca_system_score_gemma":0.0001268108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000360486,"about_ca_topic_score_gemma":0.0002655168,"domain_scores_codex":[0.9974106,0.00002816713,0.0005419557,0.001082315,0.0003116123,0.0006253316],"domain_scores_gemma":[0.9987943,0.0002337812,0.0002973558,0.0003993496,0.0002251323,0.00005013358],"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":[0.00002550421,0.00001046105,0.0001082271,0.0001582647,0.000006560718,0.0001625484,0.0001898596,0.0005069075,0.0000233081,0.9077672,0.000001237426,0.09103986],"study_design_scores_gemma":[0.0006271551,0.000194286,0.000128469,0.00362761,0.00001124393,0.0001484001,0.008303686,0.001198144,0.0001613162,0.8321057,0.15202,0.001473939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00004041232,0.02604368,0.1010718,0.0009551409,0.0002521858,0.0003880475,0.00001770605,0.0003817294,0.8708493],"genre_scores_gemma":[0.6068679,0.1826577,0.007815812,0.0007807052,0.0002850627,0.0002136638,0.0001058683,0.0002035778,0.2010697],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6697795,"threshold_uncertainty_score":0.9996656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04304905021069133,"score_gpt":0.2778118623391426,"score_spread":0.2347628121284513,"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."}}