{"id":"W1562618907","doi":"","title":"Health insurance provisions in community micro finance : a community case study.","year":2003,"lang":"en","type":"dissertation","venue":"ResearchSpace (University of KwaZulu-Natal)","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Foundation; International Development Research Centre","keywords":"Business; Health insurance; Actuarial science; Finance; Economics; Health care; Economic growth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005577818,0.0003737116,0.001475766,0.00123545,0.001883774,0.00004761753,0.001125528,0.0004873832,0.00004613568],"category_scores_gemma":[0.000315315,0.0004610675,0.0002407552,0.001353735,0.0002196582,0.0004202896,0.000284776,0.004172601,0.0001319439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009346355,"about_ca_system_score_gemma":0.0007516098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6864384,"about_ca_topic_score_gemma":0.5758941,"domain_scores_codex":[0.9960377,0.001591267,0.0008175513,0.0005219309,0.0002184231,0.0008131352],"domain_scores_gemma":[0.9966311,0.0001805061,0.001099705,0.001542431,0.0002482734,0.0002979936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001073981,0.01314263,0.358134,0.02085967,0.0007470971,0.005949828,0.5344947,0.0001260907,0.00005070933,0.007960318,0.006461715,0.05099922],"study_design_scores_gemma":[0.003483984,0.001737392,0.4032783,0.001432423,0.000005160878,0.0002280636,0.5751598,0.0001019471,0.00001028659,0.00131065,0.01230802,0.0009439097],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884633,0.002310419,0.00002548559,0.0008041834,0.0002746272,0.001904784,0.001168064,0.00003378466,0.00501537],"genre_scores_gemma":[0.9781029,0.00206819,0.0002793084,0.00003373525,0.0000145068,0.000007729003,0.000328436,0.00005159352,0.01911355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1105444,"threshold_uncertainty_score":0.9997841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07370455616511765,"score_gpt":0.3175902595911035,"score_spread":0.2438857034259859,"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."}}