{"id":"W4410377066","doi":"10.33086/mhsj.v9i1.6887","title":"Determinants of Health Insurance Subscription among Women of Reproductive Age in Mozambique","year":2025,"lang":"en","type":"article","venue":"Medical and Health Science Journal","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Reproductive health; Medicine; Health insurance; Demography; Demographic economics; Socioeconomics; Environmental health; Economic growth; Economics; Health care; Population; Sociology","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":[0.0003016542,0.0001163805,0.0001263879,0.0005403607,0.0004459341,0.0004441375,0.0001522013,0.000243263,0.002626861],"category_scores_gemma":[0.001325873,0.0001298455,0.0002593765,0.0006724009,0.0002334372,0.0001800723,0.0003291103,0.0003726636,0.000160806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006043371,"about_ca_system_score_gemma":0.0007433628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1664139,"about_ca_topic_score_gemma":0.2080046,"domain_scores_codex":[0.9998543,0.00003725152,0.000007309681,0.00001429667,0.00001671544,0.00007012982],"domain_scores_gemma":[0.9996519,0.0001172959,0.0001268275,0.00001182145,0.00003121237,0.0000608984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003036287,0.00003907264,0.992029,0.00003270353,0.00002210119,0.0002738617,0.001118767,0.00005763432,0.0002701567,0.00008535852,0.0003671261,0.005674019],"study_design_scores_gemma":[0.000002120722,0.00003171824,0.9980291,0.00002409065,0.000008326839,0.00007452568,0.00116219,0.00009691788,0.00001684297,0.00001012056,0.0005424039,0.00000177168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983482,0.0002909838,0.00002720286,0.0002721832,0.000003781041,0.00001808641,0.0002751164,0.000002674183,0.0007617584],"genre_scores_gemma":[0.9991649,0.0002507505,0.00003653355,0.00003740003,0.000004165128,0.00001175102,0.00009123398,6.163635e-7,0.0004025375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1664139,"threshold_uncertainty_score":0.3308906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05362701038072972,"score_gpt":0.3372362790731844,"score_spread":0.2836092686924547,"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."}}