{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007592162,0.0003856823,0.0009627656,0.0008703355,0.005411754,0.003044264,0.002050896,0.02841877,0.008995863],"category_scores_gemma":[0.03183173,0.0004823494,0.0009813855,0.001004345,0.00270376,0.003005906,0.003079552,0.021226,0.005435616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005094281,"about_ca_system_score_gemma":0.009084874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01738826,"about_ca_topic_score_gemma":0.0339383,"domain_scores_codex":[0.9942316,0.001941204,0.0005162367,0.0005291052,0.001767093,0.00101479],"domain_scores_gemma":[0.9835029,0.008173424,0.001003386,0.0007417991,0.002496236,0.004082359],"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":[0.00002838062,0.00003138262,0.001817854,0.00003554882,0.000007775325,0.0003760983,0.0001228568,0.00002834548,0.00009355869,0.002139714,0.9808292,0.01448936],"study_design_scores_gemma":[0.0001328768,0.0001348545,0.006689677,0.0007672082,0.00003449012,0.001253177,0.0007288811,0.000625233,0.0003331172,0.008929344,0.9803123,0.00005883946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006036448,0.0009307886,0.00007362666,0.9902801,0.004311961,0.000016762,0.00009430654,0.00002548143,0.003663315],"genre_scores_gemma":[0.006066785,0.001044315,0.0002491066,0.97539,0.01370361,0.00006311069,0.00009510501,0.00002889754,0.003359044],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02841877,"threshold_uncertainty_score":0.04015166,"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."}}