{"id":"W2404548783","doi":"10.1128/msystems.00062-16","title":"mockrobiota: a Public Resource for Microbiome Bioinformatics Benchmarking","year":2016,"lang":"en","type":"article","venue":"mSystems","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Cancer Institute","keywords":"Metadata; Raw data; Computer science; Sample (material); Data science; Benchmarking; Resource (disambiguation); Data set; Transparency (behavior); Redundancy (engineering); Data mining; World Wide Web; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003703742,0.0001629083,0.000182227,0.0000800522,0.0001458994,0.00004962014,0.0002277258,0.0001964014,0.00001421025],"category_scores_gemma":[0.00004901217,0.00011394,0.0001171711,0.00008943651,0.0000544114,0.000007578007,0.00009021337,0.00003739821,0.00004414746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004452042,"about_ca_system_score_gemma":0.0001000817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008464552,"about_ca_topic_score_gemma":0.00002012781,"domain_scores_codex":[0.9988169,0.00003934417,0.0003529171,0.0002733596,0.00006472435,0.0004527457],"domain_scores_gemma":[0.9992232,0.0000242942,0.0001501662,0.0003997592,0.00008313773,0.0001193862],"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":[0.00002315514,0.00002211209,0.0004809025,0.0001489405,0.00003298522,3.494581e-7,0.0000399118,3.304093e-7,0.9472461,0.0003304396,0.04787505,0.003799691],"study_design_scores_gemma":[0.0008836475,0.000233515,0.0002268038,0.0000935431,0.00000830908,0.00004973156,0.0000676129,0.00003363984,0.04339372,0.00000845726,0.9547822,0.0002188369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9070727,0.001800956,0.07310285,0.005984106,0.001995652,0.002788627,0.0008751477,0.0001638584,0.006216101],"genre_scores_gemma":[0.9908633,0.00005338732,0.002862164,0.0007197465,0.0008323057,0.00006803294,0.000242139,0.00004219692,0.004316725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9069071,"threshold_uncertainty_score":0.4646337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763070581664468,"score_gpt":0.2452817061569953,"score_spread":0.2276510003403507,"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."}}