{"id":"W4403483790","doi":"10.3390/siuj5050052","title":"Genitourinary Cancer Care in Low- and Middle-Income Countries: Disparities in Incidence and Access to Care","year":2024,"lang":"en","type":"article","venue":"Société Internationale d’Urologie Journal","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Low and middle income countries; Incidence (geometry); Genitourinary system; Medicine; Low income; Cancer; Cancer incidence; Demography; Demographic economics; Environmental health; Economic growth; Developing country; Economics; Sociology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001101594,0.0001522177,0.000233375,0.0003010469,0.00007065127,0.0002000931,0.0001435887,0.00008985139,0.0002092267],"category_scores_gemma":[0.00006987688,0.0001277715,0.00004738302,0.0001350514,0.00007668338,0.0003374837,0.0001455673,0.0004177498,0.000003790818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000640995,"about_ca_system_score_gemma":0.0003662019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007086832,"about_ca_topic_score_gemma":0.001733167,"domain_scores_codex":[0.9989175,0.00003913312,0.0002764098,0.0002530211,0.0002871369,0.0002267608],"domain_scores_gemma":[0.9994748,0.0001383079,0.00004284738,0.00007422584,0.0001521469,0.0001176729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003950418,0.00002282433,0.9879789,0.0006536542,0.00008087338,0.001009496,0.005290761,0.00005871672,0.00001073403,0.00006995812,0.0001474995,0.004281571],"study_design_scores_gemma":[0.00173029,0.0003806247,0.9877523,0.002872697,0.00005703743,0.0004072839,0.003283811,0.0001061527,0.0001438348,0.0006735871,0.002428879,0.0001635224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460285,0.04636891,0.00001330595,0.005636298,0.0007249187,0.0002847612,0.00009171592,0.00002348106,0.0008280782],"genre_scores_gemma":[0.9904706,0.00740583,0.00006949174,0.001266067,0.0003897015,0.00009141149,0.000009573772,0.00001477714,0.0002825828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04444204,"threshold_uncertainty_score":0.5210372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03318850353438242,"score_gpt":0.3713362879262871,"score_spread":0.3381477843919047,"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."}}