{"id":"W2029903468","doi":"10.1093/gbe/evq004","title":"Distinguishing Microbial Genome Fragments Based on Their Composition: Evolutionary and Comparative Genomic Perspectives","year":2010,"lang":"en","type":"article","venue":"Genome Biology and Evolution","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Genome Atlantic; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Genome; Biology; Evolutionary biology; Genome evolution; Genetics; Context (archaeology); Genomics; Comparative genomics; Genome size; Bacterial genome size; Computational biology; Gene","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":[0.002167795,0.0006981695,0.0006659346,0.00222256,0.0004397591,0.0009735819,0.0006697071,0.0008334066,0.0006806863],"category_scores_gemma":[0.004482474,0.0002869244,0.0005219691,0.001902659,0.001288597,0.001742301,0.0005180074,0.0007123584,0.000167589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005304893,"about_ca_system_score_gemma":0.0002851852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001704585,"about_ca_topic_score_gemma":0.001537287,"domain_scores_codex":[0.9992513,0.0003264043,0.00004581839,0.0001673306,0.0001573062,0.000051729],"domain_scores_gemma":[0.9985521,0.000977575,0.0002018408,0.00008146167,0.0001126393,0.00007427717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001950348,0.0003647883,0.1838216,0.001482549,0.000417677,0.0006187691,0.0007974291,0.0717773,0.2043111,0.04208081,0.0005281692,0.4918494],"study_design_scores_gemma":[0.0001002003,0.001358141,0.3897087,0.0002706785,0.0002850364,0.003053747,0.001254393,0.3942592,0.0857629,0.1157389,0.008008316,0.0001996737],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8313994,0.01272598,0.1515239,0.001007504,0.00002234026,0.00004327337,0.0005283481,0.0002105978,0.002538764],"genre_scores_gemma":[0.9234257,0.002111394,0.07341026,0.00008827234,0.00004557671,0.00002686532,0.0006815865,0.00002273144,0.0001875588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00222256,"threshold_uncertainty_score":0.01146454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157399005488778,"score_gpt":0.2359466024937062,"score_spread":0.2243726124388184,"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."}}