{"id":"W2020101408","doi":"10.1155/2014/408685","title":"A Multiperiod Equilibrium Pricing Model","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Mathematics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; National Natural Science Foundation of China","keywords":"Economics; Subgame perfect equilibrium; Capital asset pricing model; Market clearing; Asset (computer security); Derivative (finance); Mathematical economics; Exponential utility; Econometrics; Risk aversion (psychology); Microeconomics; Nash equilibrium; Expected utility hypothesis; Financial economics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001015256,0.0001298359,0.0005589721,0.0001403125,0.00004043137,0.00005955874,0.0002708067,0.00007539836,0.00005709797],"category_scores_gemma":[0.00007559128,0.0001274731,0.0001445993,0.00005889186,0.00003584119,0.0001452369,0.00005857125,0.0001620896,0.0001033655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006072942,"about_ca_system_score_gemma":0.0000200422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000108185,"about_ca_topic_score_gemma":3.777988e-7,"domain_scores_codex":[0.9985771,0.000001960673,0.001048282,0.0001299051,0.00003666886,0.000206119],"domain_scores_gemma":[0.9984473,0.00007766179,0.001093417,0.0002540864,0.00003540958,0.00009214367],"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":[0.00001548151,0.00007704311,0.00001586112,0.00006444538,0.00003823991,4.906634e-7,0.001927713,0.02136262,0.0005947066,0.9752024,0.000268167,0.0004328217],"study_design_scores_gemma":[0.0005153026,0.0000381023,0.000005354465,0.00001882176,0.000009426605,0.00001291732,0.0001851601,0.3545977,0.000449009,0.6415561,0.002477305,0.0001348415],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.366886,0.0001178474,0.5101057,0.0001660884,0.0002217243,0.0001104072,0.000009272439,0.00001711682,0.1223659],"genre_scores_gemma":[0.8442659,0.00002436826,0.1551027,0.0001546243,0.0001690381,0.000002825055,4.6431e-7,0.00002912591,0.0002509604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4773799,"threshold_uncertainty_score":0.5198203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721919552768596,"score_gpt":0.2079780194738666,"score_spread":0.1807588239461806,"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."}}