{"id":"W3081959843","doi":"10.1002/ijfe.2227","title":"Internet and private insurance participation","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Science Foundation of Hainan Province; National Natural Science Foundation of China","keywords":"The Internet; Propensity score matching; Instrumental variable; Matching (statistics); Business; China; Private information retrieval; Private insurance; Actuarial science; Economics; Health insurance; Political science; Economic growth; Econometrics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001770199,0.0001046309,0.0002042364,0.0001359394,0.00002776088,0.0002059291,0.0003229047,0.00003296973,0.00008587005],"category_scores_gemma":[0.0001861719,0.0001068943,0.00008727248,0.00009730498,0.00003791822,0.001510221,0.0001162668,0.0001093053,0.00007221782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004083953,"about_ca_system_score_gemma":0.00001912007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002972033,"about_ca_topic_score_gemma":0.00001990071,"domain_scores_codex":[0.9990759,0.000005048744,0.0005363223,0.0001455364,0.0001290444,0.0001081238],"domain_scores_gemma":[0.9988075,0.00002094241,0.0007837855,0.00006191187,0.0003109572,0.00001488658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002026201,0.00003832234,0.9529349,0.00001539893,0.00003514896,0.00002236683,0.0001431566,0.001190446,0.0001424902,0.03463752,0.001365938,0.00927172],"study_design_scores_gemma":[0.0009180316,0.00003808725,0.8009757,0.00008371501,0.00003967942,0.000008385458,0.00001572488,0.02785496,0.0003350342,0.004044273,0.1654829,0.0002034103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961507,0.0001111604,0.0003118226,0.002341756,0.0005548174,0.00004616664,0.00000417061,0.000009481587,0.0004698877],"genre_scores_gemma":[0.9944615,0.0002365522,0.0005468252,0.003315295,0.001383067,0.000001632192,0.000008092625,0.00001172775,0.00003526952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.164117,"threshold_uncertainty_score":0.4359021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465563783706266,"score_gpt":0.2338578974107362,"score_spread":0.2092022595736735,"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."}}