{"id":"W2067316842","doi":"10.1038/nmeth.3106","title":"A defining decade in DNA sequencing","year":2014,"lang":"en","type":"article","venue":"Nature Methods","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Computational biology; DNA sequencing; DNA; Biology; Genetics","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":[0.05176084,0.0009439789,0.001722931,0.002495048,0.001921692,0.007519308,0.002673069,0.005941103,0.007868208],"category_scores_gemma":[0.07583594,0.0009778519,0.0008178307,0.0019873,0.01356726,0.0239919,0.006799782,0.01439151,0.002072074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004734149,"about_ca_system_score_gemma":0.008820271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002241509,"about_ca_topic_score_gemma":0.001558796,"domain_scores_codex":[0.9901439,0.003470485,0.0008675848,0.001928731,0.00290516,0.0006841886],"domain_scores_gemma":[0.9165924,0.05198464,0.002614534,0.009352487,0.01263233,0.006823674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006579651,0.0001754793,0.002289388,0.001471021,0.00005583512,0.0002429996,0.001544011,0.001069193,0.008177692,0.5831301,0.08886041,0.3123259],"study_design_scores_gemma":[0.00006040997,0.0002607408,0.00102455,0.00119431,0.00002564964,0.0005139786,0.0006454561,0.001194886,0.005317817,0.1505604,0.839132,0.00006985074],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.01717198,0.2543911,0.2388251,0.410657,0.04141511,0.0003156213,0.002027456,0.001573198,0.03362348],"genre_scores_gemma":[0.215523,0.2166832,0.2571143,0.2266318,0.04417663,0.001148869,0.002918018,0.00185635,0.03394783],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05176084,"threshold_uncertainty_score":0.2737408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125378664782546,"score_gpt":0.339524113013793,"score_spread":0.3269862465355384,"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."}}