{"id":"W4388446871","doi":"10.2139/ssrn.4597241","title":"Advising Sophisticated Customers: Evidence from Health Insurance Brokers","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Business; Marketing; Health insurance; Finance; Internet privacy; Health care; Computer science; Economics","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":[0.01040943,0.0002583333,0.0006983212,0.001515713,0.002330382,0.003928777,0.001162172,0.003740015,0.0141785],"category_scores_gemma":[0.0827863,0.0004526424,0.0003955154,0.002512835,0.002395237,0.002794045,0.00145725,0.002182899,0.001281893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284375,"about_ca_system_score_gemma":0.00221283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02881672,"about_ca_topic_score_gemma":0.03697281,"domain_scores_codex":[0.9935407,0.003589545,0.0003899228,0.0004747997,0.001190987,0.0008140201],"domain_scores_gemma":[0.8073796,0.1334251,0.037477,0.005369282,0.008779455,0.007569562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002525329,0.001687822,0.9417952,0.0004312742,0.0004052277,0.0006501572,0.01304572,0.0001331035,0.0001518565,0.0009308188,0.003427555,0.03481586],"study_design_scores_gemma":[0.0006602111,0.001450151,0.9411568,0.0009336708,0.0008410827,0.0008178451,0.04364406,0.0006268827,0.0004354969,0.001196831,0.008167924,0.00006899439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892001,0.002519333,0.00007573645,0.002118884,0.00002210485,0.00003703441,0.0002098827,0.000003030111,0.005813912],"genre_scores_gemma":[0.9966956,0.001668927,0.00007871392,0.0007087233,0.00004188989,0.00001220757,0.0001377155,0.000003486697,0.000652674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02881672,"threshold_uncertainty_score":0.057298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03491214819995565,"score_gpt":0.2892355863757136,"score_spread":0.254323438175758,"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."}}