{"id":"W43072628","doi":"10.1016/j.geb.2017.10.028","title":"On the optimality of diverse expert panels in persuasion games","year":2017,"lang":"en","type":"article","venue":"Games and Economic Behavior","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Persuasion; Undo; Diversity (politics); Intuition; Parameterized complexity; Heuristics; Action (physics); Computer science; Microeconomics; Mathematical economics; Psychology; Social psychology; Economics; Political science; Law","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":[0.01855085,0.002217269,0.006573709,0.002176792,0.00184493,0.005599018,0.003562021,0.006913695,0.01266325],"category_scores_gemma":[0.09369376,0.001829613,0.001818468,0.001539469,0.006717568,0.00768449,0.004003768,0.005612758,0.0009845949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003277287,"about_ca_system_score_gemma":0.002790572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003833782,"about_ca_topic_score_gemma":0.002716564,"domain_scores_codex":[0.9855915,0.009957927,0.0004713979,0.00128804,0.001228026,0.001463157],"domain_scores_gemma":[0.824434,0.164147,0.00428694,0.002525898,0.002438615,0.002167518],"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":[0.0007829251,0.0003818768,0.002038169,0.0004038546,0.0002580314,0.0003143963,0.0009387896,0.2400304,0.001135866,0.7308493,0.005806199,0.01706021],"study_design_scores_gemma":[0.0002805485,0.0001928396,0.001258116,0.0001016043,0.00008682872,0.0001150149,0.000290354,0.276723,0.0003463563,0.7192633,0.001286331,0.00005569915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3859266,0.002608964,0.4681224,0.01207481,0.0003352234,0.0005384431,0.0006364032,0.0002092665,0.1295477],"genre_scores_gemma":[0.9628816,0.001191669,0.02384582,0.0009245261,0.0003212155,0.0003239686,0.0001968976,0.00008451373,0.01022982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01855085,"threshold_uncertainty_score":0.09810746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2085810847554068,"score_gpt":0.4060143525765911,"score_spread":0.1974332678211843,"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."}}