{"id":"W6946652571","doi":"10.3389/fcimb.2022.947486.s003","title":"DataSheet_3_Genomic characterization of two metagenome-assembled genomes of Tropheryma whipplei from China.pdf","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tropheryma whipplei; Genome; Phylogenetic tree; Phylogenetics; Metagenomics; Whole genome sequencing; Genotype; Bacterial genome size","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007250879,0.001704279,0.001419285,0.004918014,0.001360475,0.00108964,0.001378237,0.001222841,0.0193093],"category_scores_gemma":[0.001713169,0.001070946,0.002038664,0.007743818,0.0003413568,0.0009254528,0.0009793274,0.001495492,0.008009406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008358856,"about_ca_system_score_gemma":0.001855224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009660609,"about_ca_topic_score_gemma":0.009615195,"domain_scores_codex":[0.999594,0.00002633226,0.00005099508,0.0001328676,0.0001174337,0.00007829354],"domain_scores_gemma":[0.9993165,0.0002335262,0.0001233645,0.00007728062,0.000129579,0.0001197488],"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":[0.004954402,0.0006803839,0.04077042,0.01409827,0.0008847076,0.003935599,0.004109318,0.00728805,0.6748919,0.004337921,0.1394583,0.1045907],"study_design_scores_gemma":[0.001236476,0.001076475,0.4061785,0.00115956,0.001353515,0.003600311,0.001796642,0.01781524,0.1086067,0.003316235,0.4531432,0.0007170508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08720434,0.001064334,0.008879223,0.000346596,0.0001870351,0.0003065405,0.8921477,0.004578234,0.005285903],"genre_scores_gemma":[0.0387961,0.0006158734,0.01896977,0.0001243213,0.00002779131,0.0003780218,0.9384983,0.001052058,0.001537752],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9806907,"threshold_uncertainty_score":0.06459606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742035221912617,"score_gpt":0.244663155976565,"score_spread":0.2272428037574389,"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."}}