{"id":"W7017037927","doi":"","title":"An Agent-based Simulation of the Effectiveness of Creative Leadership
\\n","year":2010,"lang":"en","type":"article","venue":"CogPrints (University of Southampton)","topic":"Chaos, Complexity, and Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Vrije Universiteit Brussel","keywords":"Creativity; Diversity (politics); Creativity technique; Ideation; Stage (stratigraphy); Creative problem-solving","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007338302,0.0002297787,0.0003092955,0.0003637457,0.0004617108,0.0007833544,0.0006145247,0.0006881465,0.003289937],"category_scores_gemma":[0.004490386,0.0001610979,0.0002571302,0.0002516825,0.0006067097,0.000598683,0.0007011259,0.000484262,0.0001671769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008783324,"about_ca_system_score_gemma":0.0008681874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008860679,"about_ca_topic_score_gemma":0.006812072,"domain_scores_codex":[0.9997674,0.0001261406,0.000007226324,0.00002439987,0.00003240511,0.00004235687],"domain_scores_gemma":[0.9971905,0.002154382,0.0001298566,0.0001215009,0.0001898334,0.0002138872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001941722,0.000170207,0.004184831,0.00004197107,0.00003396244,0.00008274455,0.0002010118,0.9751943,0.0007601225,0.01351475,0.0006187814,0.005003042],"study_design_scores_gemma":[0.0000398818,0.00005339106,0.0003646992,0.000005019484,0.000004736268,0.000005919449,0.00004654285,0.997001,0.0001775422,0.001773534,0.0005226021,0.000005209741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604929,0.0001031374,0.0217958,0.0003696125,0.00006128036,0.00006018433,0.0001252095,0.00008479924,0.01690719],"genre_scores_gemma":[0.9925219,0.00004756852,0.005683235,0.00003723284,0.00000483228,0.0000508835,0.00005881933,0.000009784354,0.001585672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008860679,"threshold_uncertainty_score":0.01761818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0477691532822337,"score_gpt":0.2547702102172055,"score_spread":0.2070010569349718,"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."}}