{"id":"W2125365332","doi":"10.1038/nrg1674","title":"Synergy between sequence and size in Large-scale genomics","year":2005,"lang":"en","type":"review","venue":"Nature Reviews Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":349,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Genome; Biology; Genome size; DNA sequencing; Genomics; Computational biology; Genome evolution; Genetics; Sequence (biology); Whole genome sequencing; Gene density; Gene; Evolutionary biology","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":[0.003432254,0.001591848,0.003370692,0.001261653,0.0004089214,0.001668492,0.002464208,0.002208087,0.003166792],"category_scores_gemma":[0.002989101,0.0009183761,0.0006137459,0.00300492,0.003361388,0.007308556,0.001880961,0.003773151,0.002572332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159853,"about_ca_system_score_gemma":0.0008150265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005427335,"about_ca_topic_score_gemma":0.000794799,"domain_scores_codex":[0.9993541,0.0001336049,0.00005431662,0.0001280983,0.0002932187,0.0000367517],"domain_scores_gemma":[0.9963416,0.002998269,0.0001385913,0.0001400883,0.0002857542,0.00009564503],"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":[0.0001370163,0.00005621678,0.000272165,0.005647094,0.00008661921,0.0001814717,0.00007013045,0.002163298,0.01891098,0.06937291,0.01949383,0.8836083],"study_design_scores_gemma":[0.00009484044,0.000212921,0.001808405,0.002040364,0.0002057676,0.001974982,0.0001091985,0.002242031,0.01526195,0.1881712,0.7877547,0.0001236191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006631818,0.9758956,0.01690652,0.002243001,0.00118348,0.00001389155,0.00003860527,0.000117636,0.00293808],"genre_scores_gemma":[0.005793915,0.9758253,0.0123665,0.001785905,0.002148125,0.00004766998,0.00006545584,0.00004217153,0.001924905],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003432254,"threshold_uncertainty_score":0.01815176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197655801758036,"score_gpt":0.3349167209897411,"score_spread":0.3029401629721608,"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."}}