{"id":"W26941774","doi":"","title":"Generalized Entropy Theory of Information and Market Patterns","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Information theory; Equivocation; Entropy (arrow of time); Information asymmetry; Information quality; Value of information; Information market; Information processing; Information source (mathematics); Microeconomics; Economics; Econometrics; Actuarial science; Financial economics; Information system; Mathematical economics; Mathematics; Psychology; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001475001,0.00008054868,0.0002445131,0.0001877575,0.00007503853,0.00005064339,0.0001077418,0.00003590981,0.0009675734],"category_scores_gemma":[0.00002673028,0.00007899304,0.0001041915,0.00009096452,0.00001785869,0.0003880674,0.00002515822,0.0002539213,0.00003670052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002058375,"about_ca_system_score_gemma":0.0000679821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001976574,"about_ca_topic_score_gemma":0.0002481397,"domain_scores_codex":[0.9987506,0.00002501883,0.000552583,0.00008168456,0.00003405232,0.0005560314],"domain_scores_gemma":[0.9993608,0.00001669759,0.0004403408,0.0001133723,0.00002912416,0.00003963802],"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":[0.00003161449,0.00001243558,0.01985292,0.000007567991,0.0001630755,9.115852e-8,0.0001457925,0.00002798768,0.000005960683,0.9603392,0.00008598561,0.01932732],"study_design_scores_gemma":[0.001688373,0.0002077779,0.02953147,0.00001662679,0.00003855335,0.0001537423,0.001445238,0.005355028,0.00003085409,0.8532199,0.1080144,0.0002980301],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9173998,0.01121363,0.06387505,0.0007060374,0.0001059154,0.00009953274,0.00004579014,0.0000122851,0.006541911],"genre_scores_gemma":[0.9922287,0.005587528,0.0001597187,0.00006353498,0.0001292953,0.000001896121,0.000004476676,0.000006509023,0.001818287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1079284,"threshold_uncertainty_score":0.9999457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00752649175674485,"score_gpt":0.1848067843898801,"score_spread":0.1772802926331352,"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."}}