{"id":"W2181323283","doi":"","title":"Essays on Decision Making with Information and Action Externalities","year":2012,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Southwestern University of Finance and Economics; Queen's University","keywords":"Externality; Microeconomics; Economics; Herding; Action (physics); Irrational number; Private information retrieval; Sequential game; Order (exchange); Game theory; Mathematical economics; Computer science; Mathematics","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":[0.002497806,0.0009232584,0.0005664944,0.001057887,0.001292816,0.003244148,0.0006963863,0.002977302,0.01022435],"category_scores_gemma":[0.009990986,0.0002892968,0.0007449182,0.001309472,0.005172732,0.003508061,0.001033954,0.003979799,0.001676619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003232646,"about_ca_system_score_gemma":0.001790784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324628,"about_ca_topic_score_gemma":0.0008891124,"domain_scores_codex":[0.9983028,0.0007527708,0.00008788054,0.0002591001,0.0004746149,0.0001228974],"domain_scores_gemma":[0.9893698,0.009242872,0.0003299745,0.0002807024,0.0005855616,0.0001910522],"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":[0.00002622655,0.00004728426,0.0002036152,0.0002268651,0.00001767169,0.0000769735,0.0005607033,0.002672723,0.0001359037,0.9397719,0.04208244,0.01417771],"study_design_scores_gemma":[0.00001877711,0.00002185549,0.0005078611,0.0005270985,0.00001272875,0.00005186035,0.0003681357,0.001624459,0.0001257537,0.8052692,0.191459,0.00001321061],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0167576,0.1124496,0.04080581,0.2302963,0.01414677,0.00009333166,0.0003702621,0.00006677725,0.5850136],"genre_scores_gemma":[0.5465226,0.1541275,0.01908807,0.03114621,0.02353954,0.0004844984,0.0005165105,0.0001626977,0.2244125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01022435,"threshold_uncertainty_score":0.03420383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440547930003844,"score_gpt":0.277180154907979,"score_spread":0.2527746756079406,"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."}}