{"id":"W2290058698","doi":"","title":"The Value of Financial Advice","year":2015,"lang":"en","type":"article","venue":"Annals of economics and finance","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Advice (programming); Factoring; Economics; Sample (material); Asset (computer security); Value (mathematics); Finance; Business; Actuarial 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":[0.002209176,0.0001579428,0.0003228191,0.001206943,0.00108954,0.003374605,0.0008147943,0.001645804,0.008450976],"category_scores_gemma":[0.04752306,0.0001152022,0.000196754,0.001393904,0.001397708,0.001581974,0.0008613163,0.001505823,0.0004292545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005957157,"about_ca_system_score_gemma":0.005737668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1765039,"about_ca_topic_score_gemma":0.1905685,"domain_scores_codex":[0.9977311,0.0008615891,0.00007436821,0.0001339338,0.0007273133,0.0004716573],"domain_scores_gemma":[0.9483008,0.03149411,0.007285036,0.001272915,0.006342585,0.005304626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008468956,0.0007729936,0.7287676,0.0002470024,0.0002381939,0.0008302114,0.004935321,0.004452636,0.000635699,0.03052232,0.01110113,0.2166501],"study_design_scores_gemma":[0.0001126668,0.00041213,0.9037889,0.0003903024,0.0002796755,0.000404454,0.01237052,0.01152479,0.0006764964,0.02576432,0.04418413,0.00009151944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9009888,0.00231846,0.0008262753,0.01097509,0.0000757759,0.00004960371,0.0008264479,0.00004458661,0.08389488],"genre_scores_gemma":[0.9972671,0.0002543773,0.0001665508,0.000154768,0.00002214417,0.000002910554,0.00007348618,0.000003040424,0.002055556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1765039,"threshold_uncertainty_score":0.3509532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03708675868468932,"score_gpt":0.2437141517640068,"score_spread":0.2066273930793175,"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."}}