{"id":"W3089069670","doi":"10.1136/bmjgh-2020-002906","title":"Health system determinants of access to essential medicines for children with cancer in Ghana","year":2020,"lang":"en","type":"article","venue":"BMJ Global Health","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"Hospital for Sick Children","keywords":"Access to medicines; Essential medicines; Medicine; Environmental health; Public health; Cancer; Family medicine; Political science; Economic growth; Nursing; Internal medicine; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000447348,0.0001439057,0.0008227756,0.00008110477,0.00005635785,0.00002588392,0.0003089869,0.00004503855,0.00002277375],"category_scores_gemma":[0.00003584358,0.0001452279,0.00005583941,0.0003603786,0.00002957711,0.0001044924,0.00007189319,0.00006742747,0.00001828929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004783942,"about_ca_system_score_gemma":0.0004667803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137256,"about_ca_topic_score_gemma":0.00593801,"domain_scores_codex":[0.9981148,0.00001942573,0.0009660522,0.0003831831,0.00003680256,0.0004796961],"domain_scores_gemma":[0.9987612,0.00002058444,0.0005465621,0.0001587613,0.00002266572,0.0004902174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004946312,0.0001058998,0.8991296,0.001744752,0.00007210481,0.000002059622,0.0007015252,0.0008187476,3.061567e-7,0.04550393,0.01791867,0.03350772],"study_design_scores_gemma":[0.005798335,0.001534084,0.9494436,0.0007061188,0.00001226216,0.00002110667,0.0002021093,0.03236378,0.00005460202,0.001143231,0.008080404,0.000640366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.835211,0.003618509,0.003205434,0.1441339,0.0006162917,0.004061763,0.007989435,0.00004809964,0.001115563],"genre_scores_gemma":[0.9790657,0.0001790327,0.0003425039,0.01994777,0.0003262794,0.0001064603,0.0000124892,0.000015879,0.000003856644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1438547,"threshold_uncertainty_score":0.9952108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09233797436299467,"score_gpt":0.4295418200016156,"score_spread":0.3372038456386209,"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."}}