{"id":"W2897204056","doi":"10.7287/peerj.preprints.27295v1","title":"QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science","year":2018,"lang":"en","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":883,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Dalhousie University","funders":"","keywords":"Microbiome; Visualization; Computer science; Scalability; Data science; Metagenomics; Modular design; Data visualization; Computational biology; Biology; Bioinformatics; Data mining; Database","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02033588,0.001662966,0.001441543,0.003586745,0.001623057,0.005101708,0.00505656,0.001510416,0.006757166],"category_scores_gemma":[0.05216806,0.002139976,0.002578334,0.003489012,0.00159552,0.006173045,0.01231257,0.004526407,0.004818519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166115,"about_ca_system_score_gemma":0.008183002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005228898,"about_ca_topic_score_gemma":0.008032785,"domain_scores_codex":[0.9894016,0.002438018,0.001353044,0.001598847,0.004414897,0.0007934355],"domain_scores_gemma":[0.9773743,0.007367806,0.001947537,0.00719911,0.004119455,0.001991873],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003661881,0.0004784637,0.02886462,0.003852587,0.001297783,0.001324118,0.003142482,0.03073118,0.09146316,0.05975254,0.3786972,0.396734],"study_design_scores_gemma":[0.00087637,0.0004430997,0.009269828,0.0007719315,0.000277571,0.001321689,0.0005024101,0.2144999,0.1230858,0.1319984,0.5159764,0.0009765883],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.009253705,0.0008105965,0.7968168,0.00224039,0.0008376318,0.0009064265,0.0348854,0.1506311,0.003617996],"genre_scores_gemma":[0.04334888,0.0007907574,0.8681746,0.001251955,0.0002760158,0.001868784,0.06792862,0.01393453,0.002425874],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9796641,"threshold_uncertainty_score":0.1075477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2644226004869231,"score_gpt":0.4594922304218635,"score_spread":0.1950696299349404,"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."}}