{"id":"W3125199594","doi":"","title":"Examining The Performance of A Value Investing Heuristic: Evidence From The S&P/Tsx 60 From 2001-2011","year":2013,"lang":"en","type":"article","venue":"Pressacademia","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Heuristics; Profitability index; Heuristic; Stock exchange; Portfolio; Value (mathematics); Computer science; Bankruptcy; Actuarial science; Econometrics; Economics; Financial economics; Finance; Artificial intelligence; Machine learning","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002245988,0.0001599496,0.0002011401,0.0000503713,0.0004018482,0.0002381505,0.0008170396,0.0001274065,0.0009517787],"category_scores_gemma":[0.006898772,0.00009464106,0.00004999938,0.0002740069,0.0001779415,0.0009427895,0.0004464451,0.00067552,0.0004927425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001818212,"about_ca_system_score_gemma":0.00007124178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03224254,"about_ca_topic_score_gemma":0.0000367986,"domain_scores_codex":[0.9979505,0.00008692563,0.0005606535,0.0003215128,0.0007136401,0.0003667905],"domain_scores_gemma":[0.9968252,0.001756221,0.0006099017,0.000467755,0.000320106,0.00002085996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002030909,0.0000159199,0.935757,0.00007346423,0.00003328832,0.000002217474,0.0004926294,0.0009733387,0.00608737,0.0003479954,0.04025223,0.01594421],"study_design_scores_gemma":[0.0001346124,0.000008504855,0.8611321,0.0004307655,0.0000574412,4.41245e-7,0.0001741533,0.130602,0.0007640662,0.00258744,0.003970832,0.0001376486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924432,0.0009849375,0.0001563478,0.002205907,0.0002187698,0.0004021683,0.000003171406,0.00006325284,0.003522257],"genre_scores_gemma":[0.9965228,0.00008522825,0.000353241,0.001151417,0.001305554,0.0001002406,0.000009664592,0.00002169061,0.0004501916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1296286,"threshold_uncertainty_score":0.9999615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1469473613646868,"score_gpt":0.3067816376962662,"score_spread":0.1598342763315794,"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."}}