{"id":"W2738926538","doi":"10.5539/ijef.v9n9p8","title":"The Determinants of Stock Returns in the Emerging Market of Kenya: An Empirical Evidence","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Central University of Finance and Economics","keywords":"Capital asset pricing model; Economics; Financial economics; Stock (firearms); Risk premium; Stock market; Stock exchange; Emerging markets; Econometrics; Monetary economics; Macroeconomics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001878478,0.00009003776,0.0003126011,0.0001153057,0.000133232,0.0001172074,0.001200574,0.00004569997,0.000006892947],"category_scores_gemma":[0.0003497427,0.00006881065,0.0001064175,0.00003317173,0.0001691016,0.0006053087,0.000107766,0.000147504,0.000001367114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000398676,"about_ca_system_score_gemma":0.00003562081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001275072,"about_ca_topic_score_gemma":0.0003908636,"domain_scores_codex":[0.9986734,0.00001942856,0.0009799503,0.0001444867,0.00004952083,0.0001332068],"domain_scores_gemma":[0.997314,0.000145752,0.002078029,0.0003332534,0.0001127133,0.0000162195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000341942,0.0001282364,0.8351222,0.00001687571,0.00006035871,0.00002504214,0.001450703,0.0005013521,0.000003009432,0.1059494,0.0004211578,0.05597968],"study_design_scores_gemma":[0.0005230105,0.0001777249,0.9228424,0.0001376224,0.000005461185,0.00002262782,0.000163229,0.01318078,0.0000514688,0.03800869,0.02477744,0.0001095588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935153,0.002200482,0.00005769382,0.001843521,0.0007338029,0.00008198163,0.00003372074,4.554354e-7,0.001533114],"genre_scores_gemma":[0.9705294,0.02893361,0.000216469,0.00008913974,0.0001357278,0.000003272758,2.550963e-7,0.000006181714,0.00008588055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08772019,"threshold_uncertainty_score":0.2806017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07670554204145208,"score_gpt":0.3181876438571633,"score_spread":0.2414821018157112,"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."}}