{"id":"W4315979087","doi":"10.1163/17087384-bja10074","title":"The Excluded Population: Indigenous Peoples’ Right to Health in Cameroon","year":2023,"lang":"en","type":"article","venue":"African Journal of Legal Studies","topic":"Human Rights and Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"North-West University","keywords":"Indigenous; Right to health; Government (linguistics); Human rights; Health care; Population; International law; Economic growth; Political science; Politics; Cultural rights; Public administration; Development economics; Law; International human rights law; Medicine; Environmental health; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002946788,0.0001892547,0.0001891991,0.0006419769,0.008428856,0.00273636,0.0006136675,0.001335158,0.00658598],"category_scores_gemma":[0.003168067,0.0001440871,0.0001461306,0.0006258938,0.009099412,0.001970641,0.004206209,0.002854297,0.0001312021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003765295,"about_ca_system_score_gemma":0.005744162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06549897,"about_ca_topic_score_gemma":0.07101239,"domain_scores_codex":[0.9980249,0.0009669485,0.00005549284,0.00008456002,0.0001470392,0.0007210642],"domain_scores_gemma":[0.9981368,0.0009505706,0.0003556273,0.00005067561,0.0001198934,0.0003863351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001337896,0.000117257,0.04901787,0.0003642159,0.00001892483,0.01171974,0.5515066,0.0002168002,0.002094556,0.3381026,0.008283742,0.03842385],"study_design_scores_gemma":[0.00003160271,0.0001841629,0.07136241,0.001877344,0.00005785004,0.00518382,0.7509836,0.0005176173,0.000954609,0.03646166,0.1322799,0.0001053909],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8903737,0.004094779,0.0005249396,0.04594075,0.0002376756,0.00004707563,0.00004777416,0.000004937444,0.05872833],"genre_scores_gemma":[0.9949762,0.0006756815,0.00009990339,0.001904069,0.00002826577,0.00001160864,0.000004544894,0.000001035495,0.002298784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06549897,"threshold_uncertainty_score":0.1302354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04979646059736677,"score_gpt":0.3642503934000217,"score_spread":0.3144539328026549,"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."}}