{"id":"W6958556996","doi":"10.6084/m9.figshare.29087302.v1","title":"Additional file 9 of Dynamic clustering of genomics cohorts beyond race, ethnicity—and ancestry","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cluster analysis; Genomics; Population; Genome; Genetic data","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002298926,0.001545278,0.001385779,0.00237737,0.001216298,0.002692087,0.002062774,0.0014359,0.8033131],"category_scores_gemma":[0.03770182,0.0007195234,0.001450179,0.002819979,0.0003674904,0.001461672,0.001745113,0.001009669,0.1792103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000809732,"about_ca_system_score_gemma":0.001610489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003598,"about_ca_topic_score_gemma":0.01832839,"domain_scores_codex":[0.9988966,0.0002321864,0.0001410203,0.0003989467,0.0001914173,0.0001399116],"domain_scores_gemma":[0.9770231,0.01816751,0.0006734261,0.001825349,0.001652343,0.0006582711],"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":[0.0002867269,0.00004597849,0.004111754,0.001014569,0.0001120886,0.00009664126,0.00009076711,0.0004992391,0.0002042636,0.0007094055,0.9840724,0.008756139],"study_design_scores_gemma":[0.003691321,0.0002564595,0.04718737,0.001960656,0.0004616116,0.0009468296,0.000583337,0.004366608,0.001961998,0.02443808,0.9138818,0.0002638512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003150709,0.00002317077,0.001019505,0.00009765609,0.00004523836,0.00004517568,0.9962837,0.001365451,0.000805033],"genre_scores_gemma":[0.01123375,0.000114248,0.008991456,0.0005870993,0.0001377131,0.001161078,0.9648344,0.003721428,0.00921883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8033131,"threshold_uncertainty_score":0.2805501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726401308868243,"score_gpt":0.2699697006358152,"score_spread":0.2427056875471328,"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."}}