{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002505221,0.0002790195,0.000295095,0.0008044632,0.0004533955,0.0004499215,0.0005601132,0.000261721,0.0009154314],"category_scores_gemma":[0.0001045075,0.000233951,0.00008642326,0.0006606531,0.00008535353,0.005601187,0.0001022437,0.0003581455,0.0003573555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005657049,"about_ca_system_score_gemma":0.0001122997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001992812,"about_ca_topic_score_gemma":0.00006656078,"domain_scores_codex":[0.9981036,0.0001665337,0.0002750881,0.0003705842,0.0008378681,0.0002463028],"domain_scores_gemma":[0.9977952,0.0008325445,0.0005697452,0.0005263847,0.0001293537,0.0001467899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008560772,0.0002797723,0.02120545,0.0002386195,0.0001817349,0.00003861709,0.01390777,0.0004717372,0.00002052066,0.4027084,0.2089371,0.3434495],"study_design_scores_gemma":[0.001203664,0.0003536995,0.2089448,0.001014324,0.0002049343,0.000003715124,0.05626257,0.00003504986,0.001721092,0.08196026,0.6470747,0.001221164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8974109,0.00002213558,0.004596783,0.00351792,0.0003735821,0.0004494292,0.00009412073,0.0002155891,0.09331958],"genre_scores_gemma":[0.8877156,0.0001024068,0.001617012,0.0001143947,0.00008007586,0.000004006507,0.0002090227,0.00002211175,0.1101353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4381375,"threshold_uncertainty_score":0.9999979,"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."}}