{"id":"W2001725958","doi":"10.1038/nature07484","title":"The diploid genome sequence of an Asian individual","year":2008,"lang":"en","type":"article","venue":"Nature","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":960,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Human Genome Research Institute; National Key Research and Development Program of China; Beijing Municipal Science and Technology Commission; National High-tech Research and Development Program; Chinese Academy of Sciences; Shenzhen University; H. Lundbeck A/S; Lundbeckfonden; National Natural Science Foundation of China; Wellcome Trust","keywords":"International HapMap Project; dbSNP; Genome; Genetics; Biology; Reference genome; Personal genomics; Haplotype; Whole genome sequencing; SNP genotyping; Structural variation; Genomics; Computational biology; Genotyping; DNA sequencing; Single-nucleotide polymorphism; 1000 Genomes Project; Human genome; Gene; Genotype","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":[0.0001878225,0.0002465805,0.0003266166,0.0006196818,0.0005143402,0.0004325772,0.0002359108,0.0003457001,0.006425785],"category_scores_gemma":[0.0003806667,0.0001126389,0.0003456004,0.001077026,0.0001654749,0.0002716786,0.0003487359,0.0005560674,0.003340868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003377068,"about_ca_system_score_gemma":0.0006969417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006811544,"about_ca_topic_score_gemma":0.00704328,"domain_scores_codex":[0.9999071,0.00001100638,0.00001178971,0.00003898221,0.00001919883,0.00001188721],"domain_scores_gemma":[0.9998015,0.00003717631,0.00001914863,0.00004514019,0.00005588878,0.00004110147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001742768,0.0002060561,0.04648868,0.001192798,0.0002849502,0.01227675,0.00626557,0.001891267,0.5308938,0.006294907,0.04025399,0.3522086],"study_design_scores_gemma":[0.0001224895,0.0007307581,0.1964528,0.0002485063,0.0005376445,0.02378502,0.003030569,0.003918115,0.07397929,0.004314514,0.6926724,0.0002079013],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7304181,0.004891639,0.05533132,0.003185831,0.001231582,0.0003622617,0.1617775,0.001345861,0.04145589],"genre_scores_gemma":[0.6469968,0.006669381,0.1419495,0.001698617,0.000198736,0.0003507565,0.1643845,0.0005342046,0.03721733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006811544,"threshold_uncertainty_score":0.02149642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342598383641455,"score_gpt":0.2515286136748074,"score_spread":0.2381026298383928,"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."}}