{"id":"W2143952663","doi":"10.1186/1472-698x-10-24","title":"Cancer control in developing countries: using health data and health services research to measure and improve access, quality and efficiency","year":2010,"lang":"en","type":"article","venue":"BMC International Health and Human Rights","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre","funders":"School of Medicine and Public Health, University of Wisconsin-Madison; Queen's University; World Health Organization; University of Toronto; University of Oxford; Cancer Research Institute","keywords":"Developing country; Transparency (behavior); Business; Capacity building; Health policy; Quality (philosophy); Public health; Medicine; Risk analysis (engineering); Economic growth; Nursing; Computer science; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003395417,0.0001359448,0.0003784187,0.0002283857,0.0007795905,0.0001655162,0.0002122222,0.00006147566,0.00001210317],"category_scores_gemma":[0.00002859442,0.000111059,0.000008272871,0.0001206429,0.0001398361,0.0003456128,0.0002208579,0.0003487951,4.434064e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002972845,"about_ca_system_score_gemma":0.001639312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09371875,"about_ca_topic_score_gemma":0.3057987,"domain_scores_codex":[0.9977887,0.0001338368,0.0005261712,0.0005493868,0.0005559392,0.0004459431],"domain_scores_gemma":[0.9986658,0.0001075059,0.0001881771,0.0002140452,0.0002748558,0.000549633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006811927,0.00006276722,0.9453197,0.002873434,0.00003307918,0.000006677929,0.00530077,0.000002892587,0.00006429778,0.03784452,0.000401715,0.007408927],"study_design_scores_gemma":[0.003728562,0.0005273979,0.9632211,0.002648957,0.000006425844,0.00005644062,0.0007092956,0.004796254,0.000009579672,0.002039303,0.02201667,0.0002399576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739505,0.003995924,0.0005121134,0.02011286,0.0002002189,0.0009969266,0.0001517164,0.00001496458,0.0000647566],"genre_scores_gemma":[0.9851957,0.0005767752,0.001183091,0.01267842,0.0002662294,0.00002484321,0.00004409126,0.000008502276,0.00002233495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.21208,"threshold_uncertainty_score":0.9123163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3860955075084788,"score_gpt":0.5716763112083968,"score_spread":0.185580803699918,"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."}}