{"id":"W3087564393","doi":"10.1002/ijc.33282","title":"African‐specific improvement of a polygenic hazard score for age at diagnosis of prostate cancer","year":2020,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"National Institute of Biomedical Imaging and Bioengineering; Norges Forskningsråd; National Cancer Institute; National Institute for Health and Care Research; U.S. Department of Defense","keywords":"Prostate cancer; Medicine; Oncology; Internal medicine; Hazard ratio; Cancer; Confidence interval","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":[0.01038334,0.001018149,0.0008754915,0.0006449574,0.0003932395,0.0008948091,0.0009359858,0.0006527226,0.003583701],"category_scores_gemma":[0.0110043,0.0003221876,0.002662094,0.0005538532,0.0003886068,0.0005584472,0.001107326,0.001105818,0.0005183672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003956412,"about_ca_system_score_gemma":0.00123525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005644086,"about_ca_topic_score_gemma":0.004500298,"domain_scores_codex":[0.9972944,0.002037411,0.000093715,0.0003205782,0.0001074343,0.0001464956],"domain_scores_gemma":[0.9945495,0.003939167,0.0004459446,0.0005412799,0.0003304479,0.0001938035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003645306,0.0003938673,0.4781348,0.0002040167,0.004442217,0.0005708883,0.0003110572,0.402231,0.005230645,0.004038639,0.002679337,0.09811811],"study_design_scores_gemma":[0.00018404,0.0005604043,0.09736869,0.000057224,0.0009689956,0.0004217879,0.0000684409,0.8928897,0.001583002,0.004088964,0.001742533,0.00006613748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9017924,0.001250215,0.09227756,0.001119094,0.00009101888,0.00007139767,0.001083329,0.0005099509,0.001805114],"genre_scores_gemma":[0.9877263,0.0001817978,0.01034976,0.0001174721,0.00003641328,0.00003801282,0.0006900544,0.00004719173,0.0008131414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01038334,"threshold_uncertainty_score":0.05491298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3044309558682358,"score_gpt":0.4373515755423195,"score_spread":0.1329206196740836,"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."}}