{"id":"W4416392155","doi":"10.1101/2025.11.17.688257","title":"Telomere-to-Telomere Accurate and Gapless Korean Standard Reference Genome","year":2025,"lang":"","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inversa Systems (Canada); Institute of Aging","funders":"Korea Research Environment Open Network; Ministry of SMEs and Startups; Korea Institute of Science and Technology; Korea Institute of Science and Technology Information; Ulsan Metropolitan City; Ministry of Trade, Industry and Energy; Ulsan National Institute of Science and Technology","keywords":"Phaser; Reference genome; Genome; Gapless playback; Haplotype; Structural variation; Quality (philosophy)","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":[0.001161362,0.0009838889,0.0008941354,0.001482241,0.0007028392,0.0009547445,0.001358826,0.0008230206,0.004052536],"category_scores_gemma":[0.001733868,0.0004213875,0.0009680271,0.00196348,0.000203261,0.000926061,0.000919906,0.0008567036,0.003022653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007536548,"about_ca_system_score_gemma":0.001044203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005502011,"about_ca_topic_score_gemma":0.006504646,"domain_scores_codex":[0.9993211,0.00006287971,0.00008170529,0.0003081197,0.000138859,0.00008731824],"domain_scores_gemma":[0.999186,0.00006663303,0.0001208621,0.0002199512,0.0003496096,0.00005693363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002043324,0.0002095306,0.02507073,0.002198601,0.0003145378,0.001575608,0.001288779,0.007086321,0.7398518,0.003825794,0.017148,0.199387],"study_design_scores_gemma":[0.0002321247,0.0009426897,0.08060919,0.0006050707,0.0008025377,0.004824369,0.001091133,0.01461958,0.4088867,0.00157733,0.4854026,0.0004067851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6920161,0.008242062,0.1817899,0.0007116125,0.0009693715,0.0005158349,0.09876361,0.004974071,0.01201744],"genre_scores_gemma":[0.4839656,0.003147191,0.2342262,0.0004572649,0.00008303011,0.0006892218,0.2640935,0.001732512,0.01160565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005502011,"threshold_uncertainty_score":0.01355714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226568339313992,"score_gpt":0.2574617290235198,"score_spread":0.2351960456303799,"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."}}