{"id":"W2025105590","doi":"10.1139/g10-025","title":"Whole human exome capture for high-throughput sequencing","year":2010,"lang":"en","type":"article","venue":"Genome","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Exome sequencing; Human genome; Exome; Genome; Genetics; Computational biology; Molecular Inversion Probe; Genomics; Single-nucleotide polymorphism; Cancer genome sequencing; Reference genome; DNA sequencing; DNA microarray; Gene; Mutation; Genotype; Gene expression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008932137,0.0004244715,0.0005888562,0.0006920614,0.0006081861,0.0005268967,0.0003779742,0.0005597915,0.007530548],"category_scores_gemma":[0.001205868,0.0002426526,0.0006843912,0.0005570708,0.0001637916,0.0003163286,0.0006216393,0.000576476,0.003113276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434162,"about_ca_system_score_gemma":0.0002823978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004686115,"about_ca_topic_score_gemma":0.001576966,"domain_scores_codex":[0.9994209,0.0001547366,0.00004945628,0.0001964695,0.0001299543,0.00004848037],"domain_scores_gemma":[0.9996092,0.0001640415,0.00001721528,0.0001114924,0.00007298796,0.00002510534],"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":[0.0003095586,0.00006741271,0.002191773,0.0002653498,0.000105594,0.0002119893,0.00006951138,0.0006685,0.9617313,0.0008840715,0.003530731,0.02996425],"study_design_scores_gemma":[0.0001695324,0.0008035979,0.06657993,0.0001240524,0.0002774732,0.003290554,0.0001283216,0.01572259,0.8022048,0.003156348,0.1074263,0.0001164221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2097296,0.004127622,0.7285684,0.0007738389,0.0004039182,0.001786265,0.04107379,0.002052297,0.01148427],"genre_scores_gemma":[0.3134551,0.003191124,0.5979007,0.001108047,0.0002325737,0.003353358,0.0679164,0.0006144427,0.01222827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007530548,"threshold_uncertainty_score":0.02519214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141040649373755,"score_gpt":0.2413325745064245,"score_spread":0.227228509569049,"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."}}