{"id":"W4386329286","doi":"10.1038/s41698-023-00425-5","title":"Addressing racial and ethnic disparities in AACR project GENIE","year":2023,"lang":"en","type":"letter","venue":"npj Precision Oncology","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Ethnic group; Geography; Political science; Sociology; Anthropology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0006537007,0.0004144946,0.001162924,0.0007304007,0.00007302739,0.00003516969,0.0002348344,0.002565421,0.0003217976],"category_scores_gemma":[0.001233027,0.0003646757,0.0001401424,0.0004710587,0.0003304077,0.00005129295,0.0003958943,0.003267171,0.00009290283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008497864,"about_ca_system_score_gemma":0.001192187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003348304,"about_ca_topic_score_gemma":0.0009957977,"domain_scores_codex":[0.9967195,0.0004384734,0.0006799445,0.000859467,0.0006112381,0.0006913748],"domain_scores_gemma":[0.9973104,0.00178434,0.0002340821,0.0004609957,0.0001255976,0.00008457333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004741075,0.00004742329,0.001741306,0.000356338,0.00005048948,0.001532636,0.000766565,0.000002656604,0.0004348924,0.000001437214,0.8803407,0.1142514],"study_design_scores_gemma":[0.002128294,0.001494916,0.02733211,0.0008047563,0.00015004,0.0002932246,0.00007796585,0.0001036822,0.0001976278,0.0006161663,0.9663881,0.0004131256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.3713621,0.01214231,0.00008091491,0.5788607,0.01306448,0.005544527,0.0002207393,0.0005127527,0.01821147],"genre_scores_gemma":[0.06731378,0.008641974,0.008743485,0.855983,0.02101788,0.002141242,0.001091635,0.0007460706,0.03432097],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3040483,"threshold_uncertainty_score":0.9998805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2740271940937723,"score_gpt":0.4634222795621389,"score_spread":0.1893950854683666,"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."}}