{"id":"W4225577474","doi":"10.21203/rs.3.rs-1498492/v1","title":"Multi-omics characterization of the Canada goose fecal microbiome reveals selective efficacy of simulated metagenomes","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Connecticut","keywords":"Metagenomics; Microbiome; Biology; Amplicon; 16S ribosomal RNA; Computational biology; KEGG; Gene; Goose; Genetics; Polymerase chain reaction; Transcriptome; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004473197,0.000431189,0.0003674899,0.0004570093,0.0003791497,0.0008511879,0.0003547176,0.0003744626,0.0004062403],"category_scores_gemma":[0.001232821,0.0001679784,0.0006046293,0.0007208439,0.0003014239,0.0003607014,0.0003816801,0.0002773902,0.000123538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114505,"about_ca_system_score_gemma":0.0009186342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0570962,"about_ca_topic_score_gemma":0.03844079,"domain_scores_codex":[0.9997241,0.00005622134,0.00001516251,0.00009568625,0.00006974414,0.00003917111],"domain_scores_gemma":[0.9996645,0.0001186348,0.00004419747,0.00004653458,0.0000928111,0.00003322246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001580147,0.0001920786,0.2595692,0.0003676378,0.0006262945,0.0001835881,0.0004111511,0.2133698,0.504491,0.0008240466,0.0004034282,0.0179817],"study_design_scores_gemma":[0.00004329752,0.0003574263,0.3405232,0.00002419141,0.0002227184,0.0001304202,0.0007574668,0.5708019,0.08472809,0.0007015879,0.001642803,0.00006691167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959009,0.0001059874,0.002978806,0.00002491555,0.000002785393,0.000008919005,0.0006587862,0.00004672333,0.0002722679],"genre_scores_gemma":[0.9940161,0.00007429854,0.004094412,0.0000262857,0.000001322565,0.00001668997,0.001646593,0.00001704015,0.0001074125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0570962,"threshold_uncertainty_score":0.1135278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03335866266910423,"score_gpt":0.328447982783546,"score_spread":0.2950893201144418,"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."}}