{"id":"W2603918585","doi":"10.1016/j.socscimed.2017.03.059","title":"Rationing hepatitis C treatment in the context of austerity policies in France and Cameroon: A transnational perspective on the pharmaceuticalization of healthcare systems","year":2017,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agence Nationale de Recherches sur le Sida et les Hépatites Virales; Sidaction; Fonds de Recherche du Québec-Société et Culture; F. Hoffmann-La Roche","keywords":"Rationing; Austerity; Scarcity; Context (archaeology); Health care; Public health; Politics; Economic growth; Development economics; Political science; Medicine; Economics; Nursing; Geography; Market economy; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.003595531,0.00006384571,0.0002361311,0.00007262517,0.001283501,0.00001148978,0.000175298,0.00005262417,0.00001531571],"category_scores_gemma":[0.0009041007,0.00003363373,0.00001247827,0.0002461291,0.0008851045,0.0001621796,0.00001060838,0.0002007998,2.482681e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002668347,"about_ca_system_score_gemma":0.000468745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1440476,"about_ca_topic_score_gemma":0.02042638,"domain_scores_codex":[0.9978078,0.001056238,0.0003837841,0.0001349798,0.0004327207,0.0001845035],"domain_scores_gemma":[0.9982099,0.0009267833,0.0004115333,0.0001276635,0.0002871223,0.00003700277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001822842,0.00002259992,0.2438935,0.00009538446,0.000002659586,7.991908e-7,0.3545112,9.6306e-7,0.0001405904,0.3998243,0.00001708306,0.001472644],"study_design_scores_gemma":[0.000819269,0.0002224275,0.749184,0.0004083835,0.000006643362,8.250547e-7,0.246339,0.0003724959,0.00001779171,0.0005611561,0.002027181,0.0000408046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7740575,0.0003083075,0.00001570755,0.2217887,0.0002483966,0.0009183417,0.00001769375,0.000002490455,0.002642852],"genre_scores_gemma":[0.9987445,0.0001218443,0.000001120115,0.0008310172,0.0001752549,0.00009391302,0.000001133211,0.000002391244,0.0000288345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5052905,"threshold_uncertainty_score":0.9974483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1932964568115868,"score_gpt":0.5504651874332613,"score_spread":0.3571687306216745,"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."}}