{"id":"W3121366942","doi":"","title":"The Gamma Factors and the Value of Financial Advice","year":2019,"lang":"en","type":"article","venue":"Annals of economics and finance","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Advice (programming); Value (mathematics); Finance; Business; Economics; Actuarial science; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005264562,0.0001197068,0.0002994677,0.0000528473,0.0001450622,0.00007255878,0.0001908572,0.00004242379,0.00001128955],"category_scores_gemma":[0.0001152564,0.00007304348,0.0001002231,0.0001214611,0.0002048592,0.0003494682,0.0001416377,0.00005997774,0.000008878567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000021598,"about_ca_system_score_gemma":0.00001708713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007004243,"about_ca_topic_score_gemma":0.0001847563,"domain_scores_codex":[0.9992557,0.000008273792,0.0003522804,0.0001787058,0.00004814961,0.0001568799],"domain_scores_gemma":[0.9990187,0.0001516964,0.0004684744,0.0002400669,0.000116837,0.000004274809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001355527,0.00001430806,0.2742503,0.00004658541,0.00001076959,1.417585e-7,0.00008332218,0.0001322622,0.000009167389,0.7222114,0.0007200278,0.002386189],"study_design_scores_gemma":[0.0007361739,0.00002424799,0.7536351,0.0000512326,0.00003997186,2.55068e-7,0.00006554886,0.02102936,0.0001678982,0.03126447,0.1928039,0.0001818312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960219,0.001108238,8.890268e-7,0.0008837278,0.0001400362,0.0001602668,0.00000636571,0.000004114973,0.001674438],"genre_scores_gemma":[0.9942368,0.004649851,0.00002035769,0.0006768441,0.0001071122,0.000003445784,0.000004155937,0.000008301865,0.0002931061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6909469,"threshold_uncertainty_score":0.2978627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516231289360235,"score_gpt":0.2135386373092331,"score_spread":0.1983763244156308,"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."}}