{"id":"W2791195545","doi":"10.1016/s2214-109x(18)30095-0","title":"Global health and equity in access to genomics and clinical trials with novel therapies","year":2018,"lang":"en","type":"article","venue":"The Lancet Global Health","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Clinical trial; Medicine; Precision medicine; Immunotherapy; Malignancy; Oncology; Cancer; Bioinformatics; Intensive care medicine; Internal medicine; Pathology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03109029,0.0004401024,0.001135468,0.004275283,0.001333482,0.007161511,0.001411815,0.004373622,0.0439964],"category_scores_gemma":[0.07656325,0.0004313381,0.001011149,0.004746339,0.006169892,0.008227961,0.01021478,0.004267308,0.003417268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004620051,"about_ca_system_score_gemma":0.01461647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004446083,"about_ca_topic_score_gemma":0.003679245,"domain_scores_codex":[0.9763135,0.01298643,0.001353857,0.001792279,0.004568206,0.002985553],"domain_scores_gemma":[0.927008,0.04096182,0.008240019,0.005359817,0.007352833,0.01107741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003821217,0.0001024664,0.01280781,0.002484206,0.0003266125,0.0003838043,0.001364608,0.001231,0.0005838255,0.2732664,0.274495,0.4325721],"study_design_scores_gemma":[0.0002904294,0.000242355,0.02892159,0.004512898,0.0001384522,0.0006949806,0.001277035,0.0005009468,0.0003261979,0.2343548,0.7286416,0.00009866212],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0138024,0.07413778,0.008424882,0.7145865,0.004451875,0.0002900618,0.004987031,0.0005085735,0.178811],"genre_scores_gemma":[0.5690838,0.1043197,0.01430289,0.2554185,0.01245422,0.001297954,0.00589963,0.0006556503,0.03656785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0439964,"threshold_uncertainty_score":0.1644231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.307264195441903,"score_gpt":0.4990177683719493,"score_spread":0.1917535729300464,"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."}}