{"id":"W3117541478","doi":"10.1002/cncr.33394","title":"Geospatial access predicts cancer stage at presentation and outcomes for patients with breast cancer in southwest Nigeria: A population‐based study","year":2020,"lang":"en","type":"article","venue":"Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia; Dalhousie University","funders":"National Cancer Institute; Thompson Family Foundation","keywords":"Medicine; Breast cancer; Geospatial analysis; Population; Oncology; Cancer; Stage (stratigraphy); Presentation (obstetrics); Breast cancer awareness; Environmental health; Internal medicine; Demography; Surgery; 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":[0.0005654039,0.0002629022,0.000238591,0.0005971361,0.00049105,0.0006606697,0.0003537361,0.00041557,0.001516622],"category_scores_gemma":[0.002249648,0.0003816193,0.0005284363,0.001002466,0.0002299207,0.0005424569,0.0005773864,0.0005946044,0.0001776762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004613379,"about_ca_system_score_gemma":0.000660995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01274089,"about_ca_topic_score_gemma":0.01646858,"domain_scores_codex":[0.9997671,0.00007994818,0.00002946328,0.00005194623,0.00002494443,0.00004658149],"domain_scores_gemma":[0.9992746,0.0001880128,0.0003202216,0.000064066,0.00005691055,0.00009628256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002110915,0.00002305754,0.9994084,0.000004219383,0.00001502312,0.00003237204,0.00004870563,0.00006559156,0.00001842091,0.00001211763,0.0000403807,0.0003106254],"study_design_scores_gemma":[0.00001215908,0.0001169127,0.9944155,0.00004294231,0.00006969661,0.0004184096,0.001354551,0.003077236,0.0000340559,0.0001226937,0.0003285026,0.000007267229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994647,0.00008262337,0.00006733465,0.00004621594,0.000002971803,0.000006198561,0.000189356,0.000001140699,0.0001395051],"genre_scores_gemma":[0.9996258,0.00009065475,0.00006756456,0.00001059645,0.000003077276,0.000006317183,0.0001579415,7.645231e-7,0.00003728644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01274089,"threshold_uncertainty_score":0.02533346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0588890550742215,"score_gpt":0.3729858465951688,"score_spread":0.3140967915209473,"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."}}