{"id":"W3123610944","doi":"","title":"Testing Weak Form Efficiency on the Toronto Stock Exchange","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Econometrics; Kurtosis; Efficient-market hypothesis; Stock exchange; Random walk hypothesis; Null hypothesis; Profitability index; Economics; Market efficiency; Stock (firearms); Series (stratigraphy); Stock market; Computer science; Financial economics; Statistics; Mathematics; Finance; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004212123,0.0004471244,0.001008032,0.0004520305,0.0004946321,0.0004285371,0.001509129,0.0005361502,0.002411579],"category_scores_gemma":[0.001172169,0.0004207268,0.0004051909,0.0002673868,0.0002463215,0.0001499455,0.00148301,0.002102576,0.0001991933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455022,"about_ca_system_score_gemma":0.0001684297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007180023,"about_ca_topic_score_gemma":0.01166349,"domain_scores_codex":[0.9959875,0.00009923868,0.001348167,0.001359794,0.0001379761,0.001067278],"domain_scores_gemma":[0.9958729,0.000983797,0.0006837426,0.002148336,0.0001174722,0.0001937448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000206195,0.001225144,0.046378,0.001002596,0.0009553152,0.00004455731,0.004507435,0.008671084,0.0001117029,0.315581,0.002122164,0.6191949],"study_design_scores_gemma":[0.001141591,0.0006021861,0.05034831,0.0005051692,0.00002396227,0.00001720627,0.002214136,0.2132983,0.00003281674,0.03990336,0.6896901,0.002222908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2902122,0.00116139,0.00001553823,0.000764421,0.0009385266,0.001157988,0.0002507315,0.00005300549,0.7054462],"genre_scores_gemma":[0.9857441,0.002039687,0.0003325944,0.0001176511,0.0007508185,0.0005604531,0.00003899026,0.0001137961,0.01030192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6955319,"threshold_uncertainty_score":0.9998245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07665350850412248,"score_gpt":0.2912410139833754,"score_spread":0.214587505479253,"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."}}