{"id":"W4283803974","doi":"10.3386/w30205","title":"The Quality of Financial Advice: What Influences Client Recommendations?","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Advice (programming); Quality (philosophy); Business; Finance; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01459471,0.0002443959,0.0007992088,0.0008647169,0.001788131,0.003771954,0.0009731914,0.001949857,0.004192942],"category_scores_gemma":[0.1732983,0.0004844397,0.0002778648,0.001177535,0.001077422,0.002092508,0.0007889908,0.001693665,0.0007724413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003682642,"about_ca_system_score_gemma":0.004132784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06357364,"about_ca_topic_score_gemma":0.0728033,"domain_scores_codex":[0.9778835,0.01377284,0.00113712,0.001045475,0.005090634,0.00107048],"domain_scores_gemma":[0.8356228,0.1390272,0.01010751,0.004301593,0.007036601,0.003904279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002691963,0.004930947,0.685744,0.0007420563,0.0003026025,0.0006902544,0.06889211,0.001801623,0.006487761,0.001956447,0.005285866,0.2204744],"study_design_scores_gemma":[0.0009572081,0.004365316,0.8604652,0.000463065,0.0005700666,0.0009199504,0.07735921,0.02308543,0.004712168,0.00385781,0.02287311,0.0003715198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98772,0.0002510726,0.00107921,0.001398569,0.00001591457,0.0002260654,0.000101149,0.00007256269,0.00913556],"genre_scores_gemma":[0.9955135,0.0001791252,0.002539801,0.0003905588,0.000009516468,0.0001034868,0.0000712689,0.00001757812,0.001175129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06357364,"threshold_uncertainty_score":0.1264072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4103124296846946,"score_gpt":0.5397676875165337,"score_spread":0.1294552578318391,"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."}}