{"id":"W1980291124","doi":"10.1158/0008-5472.sabcs13-p1-09-06","title":"Abstract P1-09-06: Breast cancer in the Pan-American region: Inequities in incidence and mortality rates according to the human development index","year":2013,"lang":"en","type":"article","venue":"Cancer Research","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human Development Index; Demography; Geography; Latin Americans; Incidence (geometry); Mortality rate; Life expectancy; Ecological study; Population; Medicine; Socioeconomics; Human development (humanity); Economic growth; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005988146,0.0002110901,0.000189937,0.001227903,0.0003220024,0.0007261332,0.0003437366,0.000192509,0.01268928],"category_scores_gemma":[0.001905266,0.00008596498,0.0003596353,0.004409108,0.0001569848,0.0005150713,0.0007214556,0.0004759657,0.00135354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003076395,"about_ca_system_score_gemma":0.000630351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01760848,"about_ca_topic_score_gemma":0.01029051,"domain_scores_codex":[0.999729,0.00009239941,0.00002573011,0.00005592162,0.00005684187,0.0000401244],"domain_scores_gemma":[0.9991145,0.0002184761,0.0002549897,0.00005750786,0.0002388388,0.0001157654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000106622,0.00005586824,0.9818555,0.00008281277,0.00006767637,0.00005882562,0.0001601836,0.0001892743,0.0001484266,0.0002078647,0.009056708,0.008010292],"study_design_scores_gemma":[0.000004023958,0.00003062801,0.9964321,0.00001804614,0.00001842627,0.00006155499,0.0003389571,0.0002853049,0.00008666047,0.0000608382,0.002660449,0.000003013285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8588028,0.0006382265,0.0006877858,0.0008320662,0.00008004875,0.0001385545,0.1272652,0.00008815075,0.01146717],"genre_scores_gemma":[0.9531906,0.0003141147,0.0009411942,0.00007927898,0.00006925282,0.0001771319,0.04220938,0.00003078778,0.002988293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01760848,"threshold_uncertainty_score":0.04244989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1590982639654217,"score_gpt":0.4531435441114975,"score_spread":0.2940452801460759,"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."}}