{"id":"W7133070229","doi":"","title":"Critical Illness Insurance: Reviewing and Comparing International and Finnish Approaches","year":2025,"lang":"en","type":"dissertation","venue":"Trepo - Institutional Repository of Tampere University","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payment; Health care; Cover (algebra); Health insurance; Insurance policy; Health policy; Compensation (psychology); Loan","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007723238,0.0001931151,0.00047347,0.0001844284,0.0003927867,0.00002809809,0.00008498878,0.0001751635,0.00001314009],"category_scores_gemma":[0.00020353,0.0001952549,0.0001213991,0.00009286369,0.0002438484,0.0001754673,0.00005971802,0.0002052532,6.319274e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000203686,"about_ca_system_score_gemma":0.0003145398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002133488,"about_ca_topic_score_gemma":0.00002796267,"domain_scores_codex":[0.9989248,0.000037409,0.0002652837,0.0003881374,0.0002810979,0.000103286],"domain_scores_gemma":[0.9992226,0.0001206471,0.0001393352,0.0001557353,0.0002675137,0.00009416702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001550622,0.001583516,0.9156142,0.006317749,0.00184951,0.001403072,0.002234542,0.00006039112,0.0005811958,0.04746468,0.0008247925,0.0205157],"study_design_scores_gemma":[0.001930192,0.0001081821,0.9663367,0.005186431,0.001048072,0.0003827802,0.002444996,0.000318324,0.001602648,0.00008325781,0.02020516,0.0003532534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395256,0.003639472,0.0000116876,0.0002105535,0.0006495547,0.0002230155,0.00003318601,0.0000246647,0.05568226],"genre_scores_gemma":[0.9948507,0.001152418,0.0004480506,0.0000231902,0.0000709434,0.00000349639,0.0003826165,0.000005929588,0.003062637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05532511,"threshold_uncertainty_score":0.7962264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0921832245660324,"score_gpt":0.3095307933956127,"score_spread":0.2173475688295803,"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."}}