{"id":"W2001246517","doi":"10.1186/gb-2010-11-1-202","title":"Assembling genomes using short-read sequencing technology","year":2010,"lang":"en","type":"review","venue":"Genome Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Genome; Computational biology; DNA sequencing; Computer science; Biology; Genetics; DNA; Gene","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":[0.002103098,0.002374589,0.002284873,0.002187018,0.0002933513,0.00135188,0.00198155,0.00145428,0.00198392],"category_scores_gemma":[0.002061903,0.0006785642,0.0007607018,0.003286169,0.0008854948,0.002569939,0.001228826,0.002479935,0.003317183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008537975,"about_ca_system_score_gemma":0.001254925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190858,"about_ca_topic_score_gemma":0.002135599,"domain_scores_codex":[0.9994237,0.00007400106,0.00005743138,0.0001287024,0.0002811002,0.00003509645],"domain_scores_gemma":[0.9987566,0.0006378647,0.0001281299,0.00006588145,0.0003391597,0.00007228785],"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":[0.00008627597,0.00004331788,0.0001955634,0.009066647,0.00007742215,0.0001250641,0.00004723909,0.0009032376,0.03151007,0.004394891,0.01666882,0.9368815],"study_design_scores_gemma":[0.00002564182,0.0001081967,0.0008979497,0.0012307,0.0001190602,0.000770654,0.00008065451,0.001119702,0.03103472,0.005935111,0.9586169,0.00006067812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001262228,0.947111,0.0431449,0.001031903,0.002169004,0.00007453722,0.0004160453,0.0003523289,0.004438208],"genre_scores_gemma":[0.002179172,0.9484001,0.04316492,0.0007728138,0.0006551933,0.00007914963,0.001153421,0.00007008151,0.003525303],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002374589,"threshold_uncertainty_score":0.01112241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08230732104266555,"score_gpt":0.3493586354356319,"score_spread":0.2670513143929664,"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."}}