{"id":"W1943660933","doi":"10.1002/pbc.25722","title":"Access to Cytotoxic Medicines by Children With Cancer: A Focus on Low and Middle Income Countries","year":2015,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McMaster Children's Hospital","funders":"","keywords":"Medicine; Gross national income; Per capita; Essential medicines; Developing country; Listing (finance); Access to medicines; Environmental health; Demography; Public health; Family medicine; Population; Economic growth; Business; Finance; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002879091,0.0003455869,0.0006941416,0.0003117496,0.0001210978,0.0001927163,0.0004095098,0.0001433713,0.0002383654],"category_scores_gemma":[0.00008031893,0.0003263496,0.00005210228,0.0004579022,0.00009844642,0.0005534091,0.0001143648,0.000211117,0.0001093448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002125437,"about_ca_system_score_gemma":0.0002575752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007400914,"about_ca_topic_score_gemma":0.001213486,"domain_scores_codex":[0.9980869,0.00001018887,0.0005481316,0.0006801327,0.0001075397,0.0005671424],"domain_scores_gemma":[0.9986013,0.00004858075,0.0004138525,0.000334688,0.00009294503,0.0005086936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001730381,0.0000736635,0.9797993,0.00008989373,0.0001217587,0.000003099405,0.0004249634,0.0001618522,7.612261e-7,0.001289892,0.01738493,0.0004769064],"study_design_scores_gemma":[0.009865319,0.00180172,0.9426157,0.0004343667,0.0003841016,0.00002254069,0.00006515491,0.00009960002,0.0006814545,0.005910062,0.0360404,0.002079538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507617,0.03961733,0.0000671274,0.004597663,0.0005570155,0.000590535,0.001305574,0.00006185193,0.002441197],"genre_scores_gemma":[0.9805748,0.01356804,0.00006549209,0.003092573,0.001743922,0.0003732928,0.00001004506,0.00006534218,0.000506532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0371835,"threshold_uncertainty_score":0.9999189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049744731621636,"score_gpt":0.2423853070785182,"score_spread":0.2218878597623019,"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."}}