{"id":"W4237768041","doi":"10.1002/9780470061602.eqf14002","title":"Style Analysis","year":2010,"lang":"en","type":"other","venue":"Encyclopedia of Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Style analysis; Style (visual arts); Returns-based style analysis; Portfolio; Consistency (knowledge bases); Investment style; Modern portfolio theory; Benchmark (surveying); Quality (philosophy); Selection (genetic algorithm); Computer science; Risk–return spectrum; Econometrics; Asset allocation; Economics; Financial economics; Artificial intelligence; Return on investment; Finance; Microeconomics; Geography; Investment fund","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002411783,0.00139255,0.0007574679,0.006662664,0.001526085,0.007288649,0.001711016,0.0008449423,0.1128929],"category_scores_gemma":[0.0175106,0.0004224567,0.001491115,0.005699289,0.0008843396,0.005775543,0.003120731,0.001317911,0.05249178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608333,"about_ca_system_score_gemma":0.001377078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002388804,"about_ca_topic_score_gemma":0.00155829,"domain_scores_codex":[0.9942784,0.0007213334,0.000427144,0.001042921,0.003118607,0.0004115242],"domain_scores_gemma":[0.9912825,0.00126575,0.0005956969,0.002667962,0.00384184,0.0003462495],"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":[0.0003166704,0.0001015596,0.01010983,0.0004054624,0.0001178319,0.0002759042,0.0007245662,0.002947492,0.002607304,0.165776,0.2576955,0.558922],"study_design_scores_gemma":[0.00003987577,0.00007501733,0.008021932,0.0002314653,0.00009500116,0.0007839286,0.0008261073,0.01955713,0.004743037,0.1352047,0.8303236,0.00009812652],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02448459,0.001626375,0.3769645,0.002069875,0.001857585,0.001340233,0.05880284,0.02007069,0.5127833],"genre_scores_gemma":[0.3524258,0.002532482,0.2334794,0.002153623,0.001895383,0.001433759,0.1069459,0.01046043,0.2886731],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1128929,"threshold_uncertainty_score":0.3776644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552725263175554,"score_gpt":0.2522528775076624,"score_spread":0.2267256248759069,"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."}}