{"id":"W2768186657","doi":"10.1093/nar/gkx1209","title":"Functional sequencing read annotation for high precision microbiome analysis","year":2017,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Biology; Annotation; Computational biology; Microbiome; Metagenomics; DNA sequencing; Genetics; Evolutionary biology; Bioinformatics; DNA; Gene","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":[0.003026967,0.001685107,0.0009771362,0.004045984,0.001178833,0.001530327,0.001072933,0.001152201,0.006882405],"category_scores_gemma":[0.008919634,0.0007481246,0.001692909,0.003235585,0.0003829598,0.001308469,0.001111889,0.001375094,0.004430834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008828919,"about_ca_system_score_gemma":0.001737415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002448157,"about_ca_topic_score_gemma":0.004104747,"domain_scores_codex":[0.998087,0.0004179073,0.0002746105,0.0005788163,0.0005019471,0.0001396537],"domain_scores_gemma":[0.9966108,0.001204167,0.0004865509,0.0006546106,0.0009166732,0.0001272202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001515236,0.0002786599,0.02392503,0.003249547,0.0007000867,0.0006570086,0.0009319314,0.01808832,0.5847579,0.01049308,0.02924552,0.3261577],"study_design_scores_gemma":[0.000158672,0.0005261182,0.063237,0.0005683926,0.0004080106,0.001139601,0.0005847605,0.3339105,0.3943257,0.03870692,0.1660551,0.0003791923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05305169,0.001370231,0.8552865,0.0002263258,0.0002448569,0.0003005453,0.05213851,0.03372742,0.003653877],"genre_scores_gemma":[0.1098154,0.000431195,0.8194116,0.0002174076,0.00009325259,0.000753058,0.06393666,0.003324914,0.002016564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006882405,"threshold_uncertainty_score":0.0230239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08302994631813695,"score_gpt":0.3917377932204144,"score_spread":0.3087078469022775,"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."}}