{"id":"W4205439226","doi":"10.21203/rs.2.11349/v1","title":"Analysis of Deep-sequenced Trio-genomes of the Peninsular Malaysia Orang Asli and North Borneo Populations","year":2019,"lang":"en","type":"preprint","venue":"Research Square","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"National Science Fund for Distinguished Young Scholars; Program of Shanghai Academic Research Leader; National Research Foundation; National University of Singapore; Kementerian Sains, Teknologi dan Inovasi; National Key Research and Development Program of China; Science and Technology Commission of Shanghai Municipality; Hospital for Sick Children; Ministério da Ciência, Tecnologia e Inovação; Chinese Academy of Sciences; Youth Innovation Promotion Association; National Natural Science Foundation of China","keywords":"Geography; Genealogy; Genome; Traditional medicine; Biology; Evolutionary biology; History; Genetics; Medicine; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004822196,0.0003678554,0.0002778299,0.001355965,0.000370569,0.0005532599,0.0002611893,0.0002752788,0.0008377327],"category_scores_gemma":[0.0008875884,0.0001778645,0.0005665705,0.001178094,0.0001884424,0.0002283372,0.0006230432,0.0003045108,0.0002175152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003837457,"about_ca_system_score_gemma":0.0003986987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00623231,"about_ca_topic_score_gemma":0.01075622,"domain_scores_codex":[0.9997603,0.00004137499,0.00002611517,0.00009714795,0.00003972616,0.00003540009],"domain_scores_gemma":[0.9993116,0.0001715501,0.0001998551,0.00006688711,0.0001431809,0.0001068618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008788255,0.0001492934,0.7360447,0.0006475142,0.0007914217,0.001451715,0.00354653,0.005120506,0.1980801,0.000671513,0.0009271962,0.05169065],"study_design_scores_gemma":[0.00003473762,0.0001995395,0.9573764,0.0001006092,0.000309517,0.002107074,0.001560411,0.0113527,0.01955076,0.0004443032,0.006918524,0.00004530725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952743,0.0002698699,0.00137319,0.00002411832,0.000004681551,0.00002393264,0.002691492,0.00002130282,0.0003171995],"genre_scores_gemma":[0.9844629,0.0002267865,0.007976502,0.00005977825,0.000005533603,0.00005051627,0.006804035,0.00001509377,0.0003988681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00623231,"threshold_uncertainty_score":0.0123921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05592369166032746,"score_gpt":0.3466264268882627,"score_spread":0.2907027352279352,"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."}}