{"id":"W2890716714","doi":"10.1101/416073","title":"Mian: Interactive Web-Based 16S rRNA Operational Taxonomic Unit Table Data Visualization and Discovery Platform","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Metadata; Categorical variable; Visualization; Data mining; Python (programming language); Data visualization; Microbiome; Information retrieval; Data science; Bioinformatics; Machine learning; World Wide Web; Biology","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":[0.004410001,0.003123499,0.001666324,0.004554503,0.001276109,0.003672816,0.00428008,0.001477311,0.05599038],"category_scores_gemma":[0.01113913,0.001344676,0.002730033,0.002502933,0.000763049,0.003677756,0.006077168,0.003336988,0.02024702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136599,"about_ca_system_score_gemma":0.002375003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003982987,"about_ca_topic_score_gemma":0.00569376,"domain_scores_codex":[0.9980842,0.0003966049,0.0001656287,0.0004627963,0.0007075029,0.0001833276],"domain_scores_gemma":[0.9962552,0.00187858,0.0003745601,0.0004988606,0.0005805512,0.0004123192],"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":[0.00305617,0.0003975593,0.007049263,0.003870945,0.0009954345,0.001351411,0.001627946,0.01032215,0.03458722,0.0199246,0.7533197,0.1634977],"study_design_scores_gemma":[0.0008933554,0.0003618129,0.01185062,0.001121514,0.0003003085,0.001022457,0.0004444676,0.2433611,0.06092035,0.08598661,0.592837,0.0009004531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005052094,0.0005885633,0.2132899,0.001007782,0.0005430368,0.0004318313,0.08915623,0.6847672,0.005163329],"genre_scores_gemma":[0.0547686,0.0008880526,0.6704668,0.002218336,0.0003191573,0.00405529,0.1565902,0.100981,0.009712439],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.05599038,"threshold_uncertainty_score":0.1873065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02581771260027652,"score_gpt":0.2693219422841856,"score_spread":0.2435042296839091,"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."}}