{"id":"W2971424022","doi":"10.1016/s1470-2045(19)30535-2","title":"Barriers to treatment for patients with breast cancer in Kenya","year":2019,"lang":"en","type":"article","venue":"The Lancet Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Incidence (geometry); Breast cancer; Disease; Quarter (Canadian coin); Population; Health care; Cancer; Demography; Internal medicine; Environmental health; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008256701,0.0001491132,0.0002883848,0.0003649418,0.002206049,0.001494559,0.0007121833,0.0009723253,0.009186329],"category_scores_gemma":[0.007252787,0.0003174123,0.0004613204,0.0008895005,0.0007221864,0.001005281,0.001756566,0.002536298,0.0003572261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003477874,"about_ca_system_score_gemma":0.01008364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1249335,"about_ca_topic_score_gemma":0.2320831,"domain_scores_codex":[0.9984543,0.0005819543,0.00009189107,0.00004695745,0.00009678216,0.0007280792],"domain_scores_gemma":[0.9958898,0.000965654,0.001255573,0.00004139175,0.000167431,0.001680118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003898378,0.000737156,0.8991017,0.001119629,0.0002082556,0.001452081,0.01249689,0.0002179501,0.0005838367,0.005506956,0.03253313,0.04565263],"study_design_scores_gemma":[0.0001636911,0.0003488745,0.9154523,0.002733079,0.0002235366,0.001284427,0.05230603,0.0003262264,0.0002024605,0.001775828,0.02510785,0.00007570324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8542879,0.01061141,0.0001336307,0.1066056,0.0003548439,0.000126758,0.001112683,0.00001231076,0.02675492],"genre_scores_gemma":[0.9857384,0.005616953,0.0001646986,0.006476709,0.00008600591,0.00007957334,0.0002046814,0.00001105776,0.001621932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1249335,"threshold_uncertainty_score":0.2484126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05031095409804269,"score_gpt":0.3685023787750488,"score_spread":0.3181914246770061,"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."}}