{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006013383,0.0002146664,0.0003989043,0.00006841665,0.0001166692,0.00004987451,0.0001073274,0.00006415017,0.0003958034],"category_scores_gemma":[0.00004110213,0.0001663395,0.0000415031,0.0002731809,0.000029334,0.0003275087,0.0000649786,0.0001142034,7.70284e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004593532,"about_ca_system_score_gemma":0.0002685589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02476969,"about_ca_topic_score_gemma":0.07362687,"domain_scores_codex":[0.9984716,0.00003129487,0.0002956747,0.0004583436,0.0004467572,0.0002962888],"domain_scores_gemma":[0.9992049,0.00004146598,0.0001723016,0.0001466702,0.000231899,0.0002027312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002821348,0.0001048668,0.9890919,0.000164017,0.00009037958,0.000006750098,0.001305414,0.003325118,0.0000163993,7.576309e-7,0.00023377,0.002839232],"study_design_scores_gemma":[0.008721966,0.0003585323,0.988642,0.0001992126,0.0001518731,2.508951e-7,0.0003603686,0.001253985,0.00002879686,0.000001471334,0.00009495052,0.0001865544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993408,0.0002194336,0.00009685993,0.002104718,0.0001860675,0.002307087,0.001622937,0.00004209773,0.00001278824],"genre_scores_gemma":[0.9964997,0.00002444735,0.00005669129,0.00160383,0.0002325287,0.001319969,0.0001262435,0.00003352041,0.0001031151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04885717,"threshold_uncertainty_score":0.9817244,"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."}}