{"id":"W4408531105","doi":"10.1016/j.gimo.2025.102872","title":"P028: Population-specific structural variation linked to metabolic diseases in people of Pacific ancestry","year":2025,"lang":"en","type":"article","venue":"Genetics in Medicine Open","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Variation (astronomy); Population; Geography; Biology; Evolutionary biology; Demography; Sociology","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":[0.0004169708,0.0004739411,0.0002300029,0.0006034203,0.0004642336,0.0005038269,0.0003467063,0.0005114804,0.008412564],"category_scores_gemma":[0.001878876,0.000177169,0.0006258511,0.001091415,0.0003742037,0.0002799968,0.0004817489,0.0008393895,0.0003690175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001629306,"about_ca_system_score_gemma":0.0002486046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01136121,"about_ca_topic_score_gemma":0.01092709,"domain_scores_codex":[0.9996635,0.0000837421,0.00003400029,0.0001224758,0.00005369997,0.0000426586],"domain_scores_gemma":[0.9994311,0.0001696203,0.0002122845,0.00006613915,0.00004109111,0.00007978635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001068867,0.00005035773,0.9633018,0.0001381105,0.001004153,0.001764072,0.0005325085,0.0002665629,0.0114968,0.0005956187,0.001374932,0.01840637],"study_design_scores_gemma":[0.00003404895,0.00008361959,0.9929231,0.00005932973,0.0003076365,0.002395127,0.0001691275,0.0005740109,0.0009105158,0.0006941358,0.001838022,0.00001125647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925376,0.0006726321,0.001455493,0.000414167,0.00004454371,0.00001690226,0.002146619,0.00004385426,0.00266817],"genre_scores_gemma":[0.9979199,0.0001431345,0.0006290716,0.00008730263,0.00002577031,0.00001294696,0.0005849364,0.00002024103,0.0005767252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01136121,"threshold_uncertainty_score":0.02814287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03143875279185587,"score_gpt":0.3691547403064859,"score_spread":0.33771598751463,"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."}}