{"id":"W4406128857","doi":"10.24294/jipd9808","title":"The structure of the Hungarian insurance market and the invariant distribution of market shares","year":2025,"lang":"en","type":"article","venue":"Journal of Infrastructure Policy and Development","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Savaria (Canada)","funders":"","keywords":"Market share analysis; Market share; Market structure; Factor market; Distribution (mathematics); Market concentration; Economics; Market microstructure; Life insurance; Index (typography); Business; Microeconomics; Order (exchange); Actuarial science; Finance; Mathematics","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":[0.0008755855,0.0001299093,0.0003638494,0.0001030992,0.0003085842,0.00005742381,0.0003423833,0.00007573474,0.00002265622],"category_scores_gemma":[0.0005700541,0.00006671958,0.00007599941,0.0002953458,0.0003013227,0.00009514482,0.0001712128,0.0002311808,1.468478e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006548554,"about_ca_system_score_gemma":0.0001742205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008187439,"about_ca_topic_score_gemma":0.00005043359,"domain_scores_codex":[0.998691,0.00005284977,0.000893889,0.0001128508,0.00008755309,0.000161922],"domain_scores_gemma":[0.9985054,0.0001718085,0.0009980092,0.000194189,0.000102736,0.00002783898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000832918,0.00002418077,0.1799943,0.0002119295,0.0003927886,0.000001379685,0.002112177,0.00009111375,0.00003949069,0.761501,0.01401308,0.04078573],"study_design_scores_gemma":[0.0008659324,0.00001566189,0.8402674,0.00008447198,0.000008848328,0.000009007346,0.0001089277,0.00004206883,0.0002782074,0.07474449,0.08351211,0.00006284134],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681932,0.008857849,0.00250513,0.008974255,0.001074152,0.0005793056,0.0004526871,0.000004159111,0.00935922],"genre_scores_gemma":[0.9970696,0.001899315,0.0003288722,0.000364033,0.00007479417,0.0000018754,0.000001400162,0.000004461161,0.000255648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6867565,"threshold_uncertainty_score":0.2720746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005346437433189414,"score_gpt":0.20004646055203,"score_spread":0.1947000231188405,"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."}}