{"id":"W1995962575","doi":"10.1093/nar/gks497","title":"METAGENassist: a comprehensive web server for comparative metagenomics","year":2012,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":414,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates; National Institute for Nanotechnology; University of Alberta","funders":"Genome Alberta; Canadian Institutes of Health Research; Alberta Innovates; Genome Canada","keywords":"Metagenomics; Biology; Upload; Metadata; Computer science; Computational biology; World Wide Web; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007577208,0.00019597,0.0002880104,0.00008710917,0.0003551507,0.00004087683,0.0003467566,0.0001407721,0.00005615921],"category_scores_gemma":[0.00007263553,0.0001765242,0.0001758299,0.0001585237,0.0002584501,0.000001988917,0.0004011925,0.0001691733,0.00006591271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003871957,"about_ca_system_score_gemma":0.00009817893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001368299,"about_ca_topic_score_gemma":0.00002341455,"domain_scores_codex":[0.9981828,0.0001995234,0.0002212184,0.0003698287,0.0002608747,0.0007657767],"domain_scores_gemma":[0.9987485,0.0001041694,0.00005297709,0.0004677231,0.000428716,0.0001978495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001843111,0.0001307165,0.004733827,0.00003618896,0.0004508777,5.414136e-7,0.0005530944,0.00002326953,0.9786839,0.00124598,0.01303781,0.0009194729],"study_design_scores_gemma":[0.0008538902,0.0003930174,0.02474185,0.000004327875,0.00004386183,0.000006883649,0.001059268,0.0001309994,0.1035272,0.0002173902,0.8687422,0.0002792027],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900012,0.005924519,0.0001631589,0.0001661736,0.0002081847,0.000635493,0.0001666229,0.000004202355,0.002730464],"genre_scores_gemma":[0.994341,0.0004803964,0.003115261,0.0001730247,0.0005699156,0.0001744101,0.00006598602,0.00003780932,0.001042161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8751568,"threshold_uncertainty_score":0.7198449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1398697403825591,"score_gpt":0.3842816258268387,"score_spread":0.2444118854442797,"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."}}