{"id":"W4280499091","doi":"10.3389/fcimb.2022.854164","title":"EasyMap - An Interactive Web Tool for Evaluating and Comparing Associations of Clinical Variables and Microbiome Composition","year":2022,"lang":"en","type":"article","venue":"Frontiers in Cellular and Infection Microbiology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Azrieli Foundation; Israel Science Foundation","keywords":"Microbiome; Composition (language); Web application; Computational biology; Computer science; Biology; Data science; World Wide Web; Bioinformatics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003942022,0.004510874,0.002435024,0.006677949,0.0007429871,0.003218269,0.003687285,0.001847364,0.1365586],"category_scores_gemma":[0.01771522,0.001399089,0.003253255,0.003280565,0.0006055157,0.004618775,0.005230935,0.002065524,0.03389743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006409285,"about_ca_system_score_gemma":0.001418829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003131296,"about_ca_topic_score_gemma":0.004553638,"domain_scores_codex":[0.9982728,0.0004599676,0.0001757334,0.0003647833,0.0005792479,0.0001475347],"domain_scores_gemma":[0.9836913,0.01276919,0.0008063818,0.0008612514,0.001253378,0.0006184743],"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":[0.002169971,0.0005032351,0.01031448,0.004243031,0.0008331324,0.001100302,0.0007668854,0.003949449,0.004354051,0.00356992,0.8100887,0.1581069],"study_design_scores_gemma":[0.00249692,0.0008198214,0.047991,0.00290855,0.0007725548,0.002842851,0.001128205,0.1343854,0.0271456,0.07618493,0.7020636,0.001260534],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.007056118,0.0008814607,0.1441876,0.0006555065,0.0005075086,0.0005823349,0.1773814,0.6620793,0.006668918],"genre_scores_gemma":[0.07630663,0.0015557,0.45634,0.00305589,0.0007399951,0.006141622,0.2816391,0.1536826,0.0205384],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1365586,"threshold_uncertainty_score":0.4568341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278142415352408,"score_gpt":0.3457459125583729,"score_spread":0.3129644884048489,"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."}}