{"id":"W3214361435","doi":"10.1093/bioinformatics/btab754","title":"Mian: interactive web-based microbiome data table visualization and machine learning platform","year":2021,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Context (archaeology); Categorical variable; Source code; Visualization; Machine learning; Metadata; Data mining; Artificial intelligence; MIT License; Table (database); License; Information retrieval; World Wide Web; Programming language","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002521375,0.002047977,0.001257373,0.003565253,0.0009197057,0.002442073,0.002738746,0.0009789333,0.1286039],"category_scores_gemma":[0.007999006,0.001051033,0.001611545,0.001974586,0.0003928853,0.003093519,0.00406537,0.00234964,0.03916667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008536215,"about_ca_system_score_gemma":0.001938904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003660406,"about_ca_topic_score_gemma":0.007091119,"domain_scores_codex":[0.9990362,0.0001679819,0.00007960575,0.0002251714,0.0003830233,0.0001081615],"domain_scores_gemma":[0.9979392,0.0008765501,0.0001620587,0.0003346781,0.0004092119,0.0002783075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001218208,0.0001855689,0.003584715,0.001169954,0.0003293215,0.0002806443,0.0004227689,0.002280299,0.009976575,0.006450678,0.8960186,0.07808261],"study_design_scores_gemma":[0.0008849519,0.0002238715,0.01468858,0.0006636966,0.0001897401,0.0005712224,0.0002685126,0.1309144,0.03278505,0.04817177,0.7701928,0.0004452531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005611674,0.0004291663,0.109624,0.0008830094,0.0004511444,0.0004668893,0.2253576,0.6462479,0.01092864],"genre_scores_gemma":[0.0639533,0.0006167029,0.4457126,0.001876216,0.0003307937,0.004638734,0.3687698,0.0965382,0.01756366],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1286039,"threshold_uncertainty_score":0.430223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02466236800343932,"score_gpt":0.2864016975794296,"score_spread":0.2617393295759903,"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."}}