{"id":"W2981918870","doi":"10.1200/jgo.19.00283","title":"Mapping Geospatial Access to Comprehensive Cancer Care in Nigeria","year":2019,"lang":"en","type":"article","venue":"Journal of Global Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Calgary","funders":"National Cancer Institute","keywords":"Geospatial analysis; Medicine; Environmental health; Cartography; Geography","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":[0.0003144281,0.000265399,0.0001458321,0.0030876,0.0005149019,0.0009047057,0.0002286595,0.0001994826,0.001687397],"category_scores_gemma":[0.001895904,0.0001594295,0.0002342068,0.004095549,0.0002541377,0.0006752466,0.001056595,0.0001787003,0.0001753962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009491872,"about_ca_system_score_gemma":0.00163816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0739582,"about_ca_topic_score_gemma":0.09117635,"domain_scores_codex":[0.9997357,0.00008655192,0.00002402658,0.0000383499,0.00006537027,0.00004991958],"domain_scores_gemma":[0.9995027,0.0001801204,0.0001424717,0.00002919918,0.000112096,0.00003333984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001494452,0.00009904431,0.831597,0.0007307302,0.00008316921,0.0009493739,0.003420486,0.03133327,0.001279347,0.00892052,0.006136268,0.1153012],"study_design_scores_gemma":[0.00002705498,0.0001088878,0.8136944,0.001382079,0.0001286989,0.001367911,0.03292638,0.08960454,0.001657428,0.006637494,0.05239024,0.00007479249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615796,0.001736727,0.007225146,0.00085495,0.00004532374,0.0001659607,0.01011365,0.0001110443,0.01816759],"genre_scores_gemma":[0.9857278,0.001556075,0.009185044,0.00002952274,0.000008279032,0.0001060936,0.002485692,0.00001068427,0.0008908374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0739582,"threshold_uncertainty_score":0.1470554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07027288529754873,"score_gpt":0.4261545228034757,"score_spread":0.3558816375059269,"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."}}