{"id":"W2416255466","doi":"","title":"High throughput sequencing: next generation methods.","year":2013,"lang":"en","type":"article","venue":"PubMed","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Programs for Assessment of Technology in Health Research Institute","funders":"","keywords":"Throughput; DNA sequencing; Computer science; Computational biology; Biology; Genetics; Telecommunications; DNA","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":[0.003601043,0.001142541,0.001561684,0.002575661,0.0009429416,0.002047205,0.001363999,0.001389515,0.01581855],"category_scores_gemma":[0.004707798,0.001099369,0.0008396347,0.002483774,0.0004804312,0.001550208,0.001053849,0.002401179,0.01324512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004361622,"about_ca_system_score_gemma":0.001599699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085159,"about_ca_topic_score_gemma":0.003852431,"domain_scores_codex":[0.998069,0.0006547084,0.0001441076,0.0003368755,0.000694889,0.0001005689],"domain_scores_gemma":[0.9975731,0.001229359,0.000155026,0.0003488782,0.0005357524,0.0001578743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008184148,0.0001925798,0.002272723,0.005096957,0.0008262647,0.00027504,0.0001924068,0.001815838,0.1882515,0.01140252,0.4055859,0.3832699],"study_design_scores_gemma":[0.0002712178,0.0002543059,0.008112936,0.0008169731,0.0005376615,0.0009684509,0.0001426363,0.02251604,0.151708,0.02644825,0.7879517,0.000271788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01099497,0.06011092,0.7374145,0.004448537,0.003388247,0.00111855,0.1068569,0.04614203,0.02952529],"genre_scores_gemma":[0.03292414,0.02640555,0.8134365,0.002585948,0.001040427,0.002015313,0.09781762,0.004066377,0.01970806],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01581855,"threshold_uncertainty_score":0.05291826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05977541190351705,"score_gpt":0.2701187395249547,"score_spread":0.2103433276214376,"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."}}