{"id":"W1539475262","doi":"","title":"An examination of the stability of short-run Canadian stock predictability","year":2010,"lang":"en","type":"article","venue":"Economics bulletin","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Predictability; Bivariate analysis; Econometrics; Statistic; Multivariate statistics; Stock (firearms); Stability (learning theory); Statistics; Economics; Mathematics; Test statistic; Statistical hypothesis testing; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001812605,0.0001624565,0.0004397009,0.0001518144,0.0001001155,0.0000264017,0.0005661125,0.0001865785,0.004143212],"category_scores_gemma":[0.0002007334,0.0001732734,0.000164636,0.00007110458,0.0002514356,0.0001526847,0.00005151045,0.0002695839,0.00008632419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001531204,"about_ca_system_score_gemma":0.00008745979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05764651,"about_ca_topic_score_gemma":0.07175206,"domain_scores_codex":[0.9982209,0.00004401879,0.0009887686,0.0004071092,0.00001782359,0.0003213465],"domain_scores_gemma":[0.9981686,0.00008093421,0.000422188,0.001094295,0.00002518978,0.0002087412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002581334,0.0002163303,0.9576087,0.00005495503,0.00006042246,1.458441e-7,0.001272638,0.001169965,0.0003740747,0.03547622,0.0004292635,0.003311475],"study_design_scores_gemma":[0.0002449492,0.00008083891,0.9678122,0.000003526346,0.000006852754,0.000002121465,0.00007404498,0.008285074,0.002295213,0.003446233,0.01754128,0.0002076468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814353,0.00003548469,0.00002534147,0.0008159826,0.0006075061,0.0003457466,0.001133048,0.00001080067,0.01559077],"genre_scores_gemma":[0.9992834,0.00001501808,0.0003305468,0.0001285252,0.0001048027,0.00001319855,0.00002489809,0.00002068157,0.0000788803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03202999,"threshold_uncertainty_score":0.9967672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085681906576065,"score_gpt":0.2053784018673568,"score_spread":0.1645215828015962,"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."}}