{"id":"W4405497558","doi":"10.1016/j.xgen.2024.100724","title":"Bridging genomics’ greatest challenge: The diversity gap","year":2024,"lang":"en","type":"review","venue":"Cell Genomics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome Canada","funders":"","keywords":"Bridging (networking); Genomics; Diversity (politics); Evolutionary biology; Computational biology; Biology; Computer science; Genetics; Genome; Sociology; Anthropology; Gene; Computer network","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006280053,0.0005303811,0.0007134079,0.0001209948,0.0003721943,0.0001651452,0.001390236,0.0006450192,0.00002909059],"category_scores_gemma":[0.00005962548,0.0003588876,0.0006750618,0.0001517688,0.00033784,0.0000027208,0.003200568,0.0006562193,0.0008580514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001738104,"about_ca_system_score_gemma":0.0006516687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002708618,"about_ca_topic_score_gemma":0.00002291657,"domain_scores_codex":[0.9977227,0.0001008634,0.0005864665,0.0006268343,0.0003074449,0.0006556569],"domain_scores_gemma":[0.9984437,0.00003822698,0.0002171639,0.0009531393,0.00008567161,0.0002621063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009947569,0.00006175738,0.000002997943,0.01024383,0.0003444871,0.00002529167,0.0003206036,0.000002532732,0.0001889472,0.0000217118,0.01850697,0.9702709],"study_design_scores_gemma":[0.0001236205,0.0001279908,9.65651e-7,0.0003400877,0.0005496513,0.0000374181,0.00008715415,0.00008170774,0.0001258049,0.00005034618,0.9980457,0.0004295164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001843143,0.9912081,0.0002146112,0.0001148924,0.000812786,0.0007121012,0.000214254,0.00002279218,0.006516104],"genre_scores_gemma":[0.0002147424,0.991581,0.0002082936,0.0001219655,0.001435291,0.00002730471,0.0006300713,0.00008676286,0.005694583],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9795388,"threshold_uncertainty_score":0.9999199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06360060501938972,"score_gpt":0.305083741294243,"score_spread":0.2414831362748533,"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."}}