{"id":"W2483435268","doi":"10.1016/j.sste.2016.07.002","title":"Spatial variations in cervical cancer prevention in Colombia: Geographical differences and associated socio-demographic factors","year":2016,"lang":"en","type":"article","venue":"Spatial and Spatio-temporal Epidemiology","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"United States Agency for International Development","keywords":"Cervical cancer; Geography; Poisson regression; Demography; Pap test; Medicine; Environmental health; Socioeconomics; Cervical cancer screening; Cancer; Population; Sociology","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":[0.0003325453,0.0002163591,0.0002273724,0.001524818,0.0004467583,0.0008685986,0.0003480207,0.0003003851,0.003040267],"category_scores_gemma":[0.001633332,0.0002190244,0.000364994,0.002231454,0.0003327267,0.0004302166,0.0006457216,0.0002733451,0.0001499169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672075,"about_ca_system_score_gemma":0.00100895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1775327,"about_ca_topic_score_gemma":0.2427086,"domain_scores_codex":[0.9996798,0.00007247192,0.00003862174,0.00007553984,0.00004151687,0.00009215612],"domain_scores_gemma":[0.9990672,0.0002183439,0.0003803971,0.00005374298,0.0001502734,0.0001299443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008232765,0.00004043903,0.9934307,0.00009363305,0.00006157828,0.0001346272,0.0006168759,0.0001328223,0.0002920553,0.0001829744,0.0002669513,0.0046651],"study_design_scores_gemma":[0.000001873934,0.00001168386,0.9979152,0.00001746394,0.00001817319,0.00009405348,0.001359746,0.0001124806,0.00001884332,0.00003550508,0.0004097855,0.000005162311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931046,0.002394249,0.000171418,0.0003650488,0.00001371652,0.00001875467,0.001580304,0.00001161532,0.002340195],"genre_scores_gemma":[0.9986847,0.0005985516,0.0001222685,0.00001399589,0.000009299442,0.00000665762,0.0003460507,0.000002346053,0.0002161316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1775327,"threshold_uncertainty_score":0.3529986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05941721563575019,"score_gpt":0.3548604715551819,"score_spread":0.2954432559194317,"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."}}