{"id":"W2989686106","doi":"10.1534/g3.119.400771","title":"Challenges and Approaches to Genotyping Repetitive DNA","year":2019,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; National Institute on Aging","keywords":"Copy-number variation; Biology; Genotyping; Genetics; Genome; Computational biology; Copy number analysis; DNA sequencing; Alu element; Ribosomal DNA; Gene; Human genome; Genotype; Phylogenetics","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":[0.02315878,0.0009361467,0.001277457,0.002751135,0.001024479,0.003740353,0.004977596,0.003305712,0.001658001],"category_scores_gemma":[0.04325827,0.0009175565,0.001112905,0.002148284,0.002975062,0.00227255,0.002604785,0.003729195,0.002072387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598404,"about_ca_system_score_gemma":0.002010367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003446628,"about_ca_topic_score_gemma":0.003872699,"domain_scores_codex":[0.9732949,0.01040311,0.001621009,0.005653756,0.008543987,0.0004832435],"domain_scores_gemma":[0.9628019,0.01689767,0.0039695,0.0066971,0.008952471,0.0006813516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002720524,0.0002473686,0.03440871,0.003524068,0.0006238451,0.0005141358,0.001745383,0.01807634,0.4686247,0.03886919,0.009050501,0.4240436],"study_design_scores_gemma":[0.00005601603,0.001248752,0.04040761,0.002430548,0.000609189,0.005374893,0.002775213,0.08011299,0.4655697,0.1353031,0.2655401,0.0005718715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04186334,0.01720988,0.92388,0.009213537,0.0008233871,0.0003951963,0.001177038,0.001150373,0.004287214],"genre_scores_gemma":[0.1148612,0.007455519,0.8690667,0.003252461,0.0003446746,0.0006963591,0.001299529,0.0002654704,0.002757992],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02315878,"threshold_uncertainty_score":0.1224768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0522404434690831,"score_gpt":0.2367353147820954,"score_spread":0.1844948713130123,"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."}}