{"id":"W2944698794","doi":"","title":"Information Communication Technology-Enabled Platforms and P&C Insurance Consumption: Evidence from Emerging & Developing Economies","year":2019,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Information and Communications Technology; Context (archaeology); Risk aversion (psychology); Business; Property insurance; Popularity; Conventional PCI; Marketing; Economics; Actuarial science; Insurance policy; Casualty insurance; Financial economics; Computer science; Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005244041,0.000171235,0.0002010908,0.001250576,0.0003123075,0.0008757259,0.0001831752,0.0003014719,0.003392294],"category_scores_gemma":[0.002977186,0.000138876,0.0004411499,0.002388149,0.000485397,0.0009601465,0.0007636826,0.0006822057,0.0002855977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004406626,"about_ca_system_score_gemma":0.0006708269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01197167,"about_ca_topic_score_gemma":0.01429078,"domain_scores_codex":[0.9997275,0.00006261864,0.00002935025,0.00003891986,0.00007688669,0.00006472342],"domain_scores_gemma":[0.9971069,0.001092616,0.001260058,0.0000729336,0.0002759182,0.0001916113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001508325,0.0002136337,0.9434118,0.0005792809,0.0001701761,0.0006197621,0.00238541,0.0003792678,0.0001946668,0.003364165,0.001371731,0.04715926],"study_design_scores_gemma":[0.000007001139,0.00008155672,0.9862091,0.0004231285,0.0001166869,0.0002503583,0.004206346,0.0005568094,0.0002478993,0.0006190356,0.007269851,0.00001208352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862368,0.006433619,0.000220639,0.0007235096,0.00001202063,0.00001486825,0.0005512957,0.000003035393,0.005804212],"genre_scores_gemma":[0.9922165,0.006749114,0.0001062651,0.00007238533,0.00001047921,0.000006071237,0.0002042114,0.000001888062,0.0006330155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01197167,"threshold_uncertainty_score":0.02380401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0735525686143025,"score_gpt":0.3294779891793576,"score_spread":0.2559254205650551,"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."}}