{"id":"W4401615338","doi":"10.1186/s12939-024-02211-6","title":"Improving accessibility to radiotherapy services in Cali, Colombia: cross-sectional equity analyses using open data and big data travel times from 2020","year":2024,"lang":"en","type":"article","venue":"International Journal for Equity in Health","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; University of Ottawa; Queen's University","funders":"Engineering and Physical Sciences Research Council; Medical Research Council","keywords":"Equity (law); Population; Open data; Descriptive statistics; Computer science; Big data; Geography; Transport engineering; Business; Statistics; World Wide Web; Medicine; Data mining; Engineering; Mathematics","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":[0.000716185,0.000330097,0.0001977495,0.001360064,0.0002875915,0.001313331,0.000399097,0.0002692999,0.002067541],"category_scores_gemma":[0.004008707,0.0001427512,0.0004017236,0.001622783,0.0002567941,0.0009525819,0.0007824181,0.0004794953,0.0001848406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002303639,"about_ca_system_score_gemma":0.0007432618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2125773,"about_ca_topic_score_gemma":0.2184393,"domain_scores_codex":[0.9996027,0.00009905276,0.00002783468,0.0001049503,0.00007870911,0.00008666412],"domain_scores_gemma":[0.998412,0.0004879777,0.0005044934,0.00009579516,0.000351391,0.0001483763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000745653,0.00005371265,0.9828252,0.00009278103,0.00008175842,0.0001002225,0.0005395675,0.003809446,0.0001057967,0.0004787998,0.001450322,0.01038783],"study_design_scores_gemma":[0.000005886597,0.00005127382,0.9834332,0.00006089142,0.00004224114,0.00004988651,0.002210492,0.01127717,0.0001553038,0.0002487657,0.002443504,0.00002140203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830579,0.0004205119,0.001414035,0.0003628962,0.00001817312,0.0000691256,0.0116838,0.00004047757,0.00293316],"genre_scores_gemma":[0.9964013,0.00009035371,0.000529946,0.00002128005,0.000007994136,0.00003772471,0.002663679,0.000006640511,0.0002411287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2125773,"threshold_uncertainty_score":0.4226799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3958403819580407,"score_gpt":0.6469295890138752,"score_spread":0.2510892070558345,"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."}}