{"id":"W3151008308","doi":"","title":"Anomalies Abroad: Beyond Data Mining","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Equity (law); Volatility (finance); Stock (firearms); Economics; Econometrics; Financial economics; Monetary economics; Geography; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008597316,0.001176012,0.0014496,0.007876259,0.0010697,0.007785696,0.002727468,0.001889747,0.003350124],"category_scores_gemma":[0.04897828,0.0005685331,0.001434778,0.008610491,0.001375663,0.009816035,0.003977575,0.003778774,0.002464854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009371486,"about_ca_system_score_gemma":0.002232943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003322538,"about_ca_topic_score_gemma":0.003448956,"domain_scores_codex":[0.9935196,0.002070072,0.0006926058,0.001477424,0.002023289,0.0002170249],"domain_scores_gemma":[0.9611014,0.02355028,0.002241437,0.008322664,0.003808742,0.0009754611],"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":[0.0003743352,0.0003906323,0.08637096,0.001257738,0.0006010673,0.0007788962,0.001077275,0.01673967,0.001652161,0.06775823,0.08649416,0.7365049],"study_design_scores_gemma":[0.00009004345,0.0002212093,0.02686604,0.001698733,0.0002507639,0.001014901,0.002281141,0.2001846,0.005564037,0.5261911,0.235486,0.0001514841],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1244409,0.03169202,0.6698288,0.04862151,0.002640543,0.0009480519,0.04772002,0.02100278,0.05310537],"genre_scores_gemma":[0.5438928,0.01110193,0.3754347,0.0044622,0.002352704,0.0005352309,0.0554647,0.001177291,0.005578421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008597316,"threshold_uncertainty_score":0.0454675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09352956207443829,"score_gpt":0.3290350228177562,"score_spread":0.2355054607433179,"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."}}