{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001447047,0.0001236136,0.0006390071,0.0001105311,0.00002210598,0.00002099626,0.0002514972,0.0001384486,0.000277361],"category_scores_gemma":[0.00006458411,0.0001044561,0.0001201147,0.0004251386,0.00002531471,0.0001855216,0.0001134662,0.0002922168,0.00004143341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002164669,"about_ca_system_score_gemma":0.001112866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008046458,"about_ca_topic_score_gemma":0.003783524,"domain_scores_codex":[0.9986174,0.00006635257,0.0005179145,0.0001586134,0.0003356759,0.0003041163],"domain_scores_gemma":[0.9987064,0.0000435659,0.0003002441,0.0001219146,0.0006074065,0.0002204751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002094523,0.00004898533,0.9575276,0.00005828197,0.00006851772,0.0008130952,0.001000306,0.001409214,0.001443826,0.0000227343,0.008113828,0.02739903],"study_design_scores_gemma":[0.003109706,0.002414337,0.8721974,0.0005312273,0.00003135843,0.0006316167,0.00460333,0.00002394179,0.0001074008,0.00005467107,0.1161727,0.0001222676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852931,0.001985562,0.00009288645,0.003895947,0.001544341,0.0002979946,0.00001133305,0.000006406403,0.006872364],"genre_scores_gemma":[0.9915725,0.0001112227,0.001024079,0.006774543,0.0004794707,0.000004604495,0.000001475634,0.000006371165,0.00002575671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1080589,"threshold_uncertainty_score":0.5660535,"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."}}