{"id":"W4401451371","doi":"10.1101/2024.08.07.606392","title":"A Draft Pacific Ancestry Pangenome Reference","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Genome; Population; Reference genome; Biology; Genetics; Evolutionary biology; Computational biology; Gene; Demography","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":[0.0066344,0.001791488,0.001672633,0.006352662,0.002404376,0.003298535,0.003914057,0.002236207,0.04830318],"category_scores_gemma":[0.01744034,0.001567684,0.001546442,0.008239849,0.000506783,0.001826154,0.003957205,0.002943769,0.04008847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318986,"about_ca_system_score_gemma":0.00573587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01651982,"about_ca_topic_score_gemma":0.01650206,"domain_scores_codex":[0.9974332,0.0004513997,0.0003426558,0.0007960834,0.0007628107,0.0002138474],"domain_scores_gemma":[0.9923691,0.001257249,0.0004557956,0.001891485,0.003660942,0.0003655109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001297721,0.0002557488,0.01119043,0.003977791,0.000423889,0.001888092,0.002806692,0.005120382,0.06121396,0.02143557,0.6259395,0.2644503],"study_design_scores_gemma":[0.0001594855,0.0000856539,0.008719876,0.0006370571,0.0001759518,0.000600937,0.0002833014,0.002668114,0.01136013,0.006185075,0.9690332,0.00009128747],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01913993,0.003265683,0.2937164,0.002043912,0.002288944,0.001302116,0.6100011,0.02863782,0.03960407],"genre_scores_gemma":[0.01209199,0.001078019,0.2110591,0.0005197497,0.0001987716,0.001106823,0.7552027,0.006889812,0.01185308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04830318,"threshold_uncertainty_score":0.1615903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176381556137033,"score_gpt":0.2333445704513538,"score_spread":0.2115807548899835,"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."}}