{"id":"W7095261483","doi":"","title":"Caucasian and Chinese-Canadian women","year":2013,"lang":"en","type":"article","venue":"","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Incidence (geometry); Risk factor; Population; Developed country; Risk factors for breast cancer; Ethnic group","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":[0.0002467132,0.0003677564,0.0002234494,0.0008470467,0.002272103,0.000534283,0.0004066952,0.0003391306,0.00617862],"category_scores_gemma":[0.0006323234,0.0001442555,0.000336421,0.001380387,0.0004311779,0.0001810821,0.0003838871,0.0002677272,0.0005665767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003158542,"about_ca_system_score_gemma":0.004605747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8399109,"about_ca_topic_score_gemma":0.8786716,"domain_scores_codex":[0.9995603,0.00002086725,0.00002135019,0.00008648624,0.0001052338,0.0002057445],"domain_scores_gemma":[0.999747,0.00001307812,0.00004071699,0.00001162694,0.00008806804,0.00009949482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000350247,0.00006836949,0.9891276,0.00004377888,0.00007690853,0.0004416176,0.001144616,0.0000343848,0.001672598,0.0002642381,0.0009683641,0.005807221],"study_design_scores_gemma":[0.00002560197,0.00007111482,0.995344,0.00001640796,0.00005080636,0.0004518956,0.001565052,0.00004691468,0.000220782,0.00006632152,0.0021323,0.00000873463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917722,0.000415664,0.0001136975,0.0001737098,0.00001631824,0.00007246499,0.001596103,0.00001038692,0.005829363],"genre_scores_gemma":[0.9958836,0.0002319231,0.0001353938,0.0001944671,0.0000115928,0.00004318952,0.0007711077,0.000003717044,0.002724856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1600891,"threshold_uncertainty_score":0.3220637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748354967874907,"score_gpt":0.2915174678721776,"score_spread":0.2640339181934286,"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."}}