{"id":"W2042947822","doi":"10.1038/nmeth.3133","title":"DeeZ: reference-based compression by local assembly","year":2014,"lang":"en","type":"letter","venue":"Nature Methods","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Compression (physics); Computer science; Computational biology; Biology; Materials science; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001987925,0.0007959893,0.0007435473,0.0007955199,0.001271218,0.002177409,0.00142985,0.006891482,0.006924757],"category_scores_gemma":[0.009078288,0.0004197982,0.0003565515,0.0007802084,0.00248891,0.002695923,0.002008568,0.005371944,0.004993845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019173,"about_ca_system_score_gemma":0.0005091325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004516429,"about_ca_topic_score_gemma":0.0010445,"domain_scores_codex":[0.9985554,0.0002609869,0.00006415264,0.0001495916,0.0008797285,0.00009025376],"domain_scores_gemma":[0.9982937,0.0008203391,0.00007771678,0.0003648756,0.0003500971,0.0000933104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005723117,0.00007570695,0.0004893738,0.0002531512,0.00006698161,0.0009073989,0.0001677084,0.002797045,0.01611081,0.1759611,0.5815359,0.2210626],"study_design_scores_gemma":[0.0002072851,0.0001852839,0.0003556505,0.0001593526,0.0000424592,0.002131921,0.00008503993,0.05484588,0.05777135,0.1439736,0.7401403,0.0001018378],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01234775,0.03068521,0.4214358,0.3721664,0.07249256,0.0003246315,0.0005339638,0.004863915,0.08514988],"genre_scores_gemma":[0.3121766,0.01614933,0.2455261,0.1495639,0.0516357,0.0009114338,0.0007766584,0.002089395,0.221171],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006924757,"threshold_uncertainty_score":0.02316558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979013988909461,"score_gpt":0.3618449975261702,"score_spread":0.3320548576370756,"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."}}