{"id":"W2491999693","doi":"10.1007/978-1-61779-089-8","title":"High-Throughput Next Generation Sequencing","year":2011,"lang":"en","type":"book","venue":"Methods in molecular biology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; College of Veterinary Medicine, University of Georgia; Public Health Agency of Canada; University of California, Los Angeles; Biodesign Institute, Arizona State University; Public Health Agency; Technische Universität Bergakademie Freiberg; Institute of Genetics; Arizona State University","keywords":"Throughput; DNA sequencing; Computer science; Computational biology; Biology; Genetics; Telecommunications; DNA","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001225456,0.0009843324,0.0008631048,0.00109662,0.0004955927,0.001888482,0.001478531,0.001607833,0.02213322],"category_scores_gemma":[0.001090658,0.0008107662,0.0008406827,0.0009523233,0.0004834003,0.002010186,0.001282,0.003287052,0.0188746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006294153,"about_ca_system_score_gemma":0.0007284766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006566406,"about_ca_topic_score_gemma":0.001412646,"domain_scores_codex":[0.9991621,0.00009745449,0.00002622407,0.0001400681,0.000536417,0.00003770177],"domain_scores_gemma":[0.9994844,0.0002494981,0.0000177724,0.00006514954,0.0001450615,0.00003818834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001485642,0.00007396963,0.0001983903,0.001021781,0.0001166105,0.0001915818,0.00007803428,0.003579398,0.1019866,0.04442693,0.3193709,0.5288072],"study_design_scores_gemma":[0.00002306662,0.00004875801,0.0001829698,0.000132863,0.00002913915,0.0004834705,0.00001162995,0.005427323,0.0311488,0.01963712,0.9428239,0.0000510508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003309402,0.09827694,0.7158085,0.007650241,0.01208007,0.0004633568,0.005465152,0.008161425,0.148785],"genre_scores_gemma":[0.01957343,0.07747936,0.6088164,0.009848604,0.003809392,0.0008107629,0.008581491,0.001584167,0.2694963],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02213322,"threshold_uncertainty_score":0.07404304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06973405407109323,"score_gpt":0.3570600971071708,"score_spread":0.2873260430360776,"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."}}