{"id":"W7116777945","doi":"10.21203/rs.3.rs-8147855/v1","title":"Determinants of Household Participation in Healthcare Prepayment Schemes in the City of Goma, in the Eastern Democratic Republic of the Congo: A Cross-Sectional Study","year":2025,"lang":"","type":"preprint","venue":"Research Square","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Prepayment of loan; Health care; Socioeconomic status; Unemployment; Quarter (Canadian coin); Payment; Logistic regression; Multistage sampling","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003550058,0.0001714553,0.0002342712,0.0006757279,0.0007751287,0.0009854593,0.0005391437,0.0004724947,0.002379142],"category_scores_gemma":[0.001863954,0.0002584604,0.0003058512,0.001913434,0.0004214379,0.0006292204,0.0007445478,0.0005931276,0.0003024738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636026,"about_ca_system_score_gemma":0.000870846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1965802,"about_ca_topic_score_gemma":0.2929086,"domain_scores_codex":[0.9995067,0.0001709298,0.00003848226,0.00006810648,0.00003324688,0.0001825676],"domain_scores_gemma":[0.9986383,0.0002314731,0.0006481425,0.00006393246,0.00009419635,0.0003239484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003369983,0.00009004026,0.9963595,0.00001438863,0.00004628542,0.0001059312,0.001536212,0.0001022919,0.0002065164,0.0001381307,0.0002634967,0.001103533],"study_design_scores_gemma":[0.000001205581,0.00001449615,0.9966257,0.000008753746,0.00001048801,0.00003284022,0.002911778,0.0001428785,0.00002528742,0.00001187455,0.0002118176,0.000003014026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988365,0.00006764055,0.00002804678,0.0001283554,0.000001404267,0.000007222323,0.000508295,0.000001369334,0.0004212348],"genre_scores_gemma":[0.9994623,0.00005017594,0.00001892139,0.00001878057,0.000001723137,0.000007807947,0.0001726509,8.149743e-7,0.0002668793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1965802,"threshold_uncertainty_score":0.390872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2310121470237157,"score_gpt":0.4557052013008021,"score_spread":0.2246930542770864,"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."}}