{"id":"W1492122659","doi":"10.2139/ssrn.2522934","title":"Retail Financial Advice: Does One Size Fit All?","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Advice (programming); Business; Finance; Actuarial science; Marketing; Computer science","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":[0.01231559,0.0004144929,0.001574889,0.002042992,0.002896624,0.008883241,0.001953931,0.008192291,0.06335316],"category_scores_gemma":[0.08212797,0.0003877535,0.0008546293,0.001995635,0.00471782,0.01831713,0.003985657,0.008168161,0.008627232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004046279,"about_ca_system_score_gemma":0.01287861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01503098,"about_ca_topic_score_gemma":0.04497346,"domain_scores_codex":[0.9927972,0.00329513,0.0004626691,0.0005525919,0.002046801,0.0008456611],"domain_scores_gemma":[0.9518841,0.02136578,0.003995659,0.0009773475,0.009000193,0.01277706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003852532,0.0006502097,0.02459191,0.0008257529,0.0001043846,0.0002446114,0.002162609,0.00006923816,0.00005966392,0.01285445,0.5261508,0.4319012],"study_design_scores_gemma":[0.001475111,0.001312782,0.1174597,0.0212492,0.001022669,0.00188716,0.06031964,0.001675925,0.0003149117,0.152131,0.6407322,0.0004196483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009553474,0.01034189,0.0003682176,0.9382375,0.002288768,0.00003554321,0.000234634,0.0001040126,0.03883588],"genre_scores_gemma":[0.435914,0.03014286,0.003501486,0.4922197,0.01311928,0.0002306387,0.0005834565,0.0006063526,0.02368215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06335316,"threshold_uncertainty_score":0.2119374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009322587100781633,"score_gpt":0.2137969180345742,"score_spread":0.2044743309337926,"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."}}