{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007092246,0.0001182758,0.0001777512,0.001230088,0.0003444594,0.001067844,0.0002359909,0.0003965355,0.009421832],"category_scores_gemma":[0.004556209,0.0000895649,0.0003033896,0.00143587,0.0003506236,0.0006139963,0.0006212436,0.0005454565,0.0005160327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004254607,"about_ca_system_score_gemma":0.0003645657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007719819,"about_ca_topic_score_gemma":0.006892611,"domain_scores_codex":[0.9994233,0.0001875746,0.00005016537,0.00007042046,0.0001344803,0.0001340938],"domain_scores_gemma":[0.9911432,0.002257354,0.005003742,0.0002865829,0.0003382496,0.0009707456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004568323,0.0001647658,0.989974,0.00002711597,0.0000500492,0.0001074283,0.0002525924,0.0001685233,0.0001095248,0.0004278272,0.0004476891,0.008224844],"study_design_scores_gemma":[0.000006265618,0.00004488445,0.9959581,0.0000333571,0.00003919613,0.0001360472,0.0006872375,0.0009472845,0.0001314636,0.0003419892,0.001668681,0.000005449928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945483,0.0003685541,0.0001459004,0.0004280469,0.000005632435,0.00001167965,0.0006344045,0.000005902398,0.003851485],"genre_scores_gemma":[0.9989238,0.0001185991,0.00004035985,0.00002768168,0.00001015949,0.000003711487,0.0002177252,9.618609e-7,0.0006570097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009421832,"threshold_uncertainty_score":0.03151917,"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."}}