{"id":"W3147891942","doi":"10.1128/msystems.00082-21","title":"BEExact: a Metataxonomic Database Tool for High-Resolution Inference of Bee-Associated Microbial Communities","year":2021,"lang":"en","type":"article","venue":"mSystems","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; Government of Canada","keywords":"Inference; Metagenomics; Biology; Halictidae; Machine learning; Computer science; Artificial intelligence; Data mining; Ecology; Apoidea","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002026249,0.001965525,0.001546741,0.004037207,0.001212951,0.003021787,0.002299958,0.001203172,0.01415005],"category_scores_gemma":[0.004440896,0.001169142,0.001744831,0.002721809,0.0004330509,0.002235068,0.002855054,0.001829743,0.006264322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006311592,"about_ca_system_score_gemma":0.001736134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001957252,"about_ca_topic_score_gemma":0.003964559,"domain_scores_codex":[0.9993443,0.0001115614,0.00009731214,0.0002059607,0.000183844,0.00005704679],"domain_scores_gemma":[0.9988977,0.0004245102,0.0002016328,0.0002291566,0.0001395206,0.0001074274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005436761,0.0008799523,0.04191929,0.009561686,0.003469573,0.00261699,0.004244055,0.01254957,0.2215301,0.01918278,0.2777548,0.4008546],"study_design_scores_gemma":[0.001282031,0.001069675,0.05475119,0.001467442,0.001143965,0.003128741,0.00174041,0.2612298,0.1387036,0.03906373,0.4955987,0.0008207227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.04138033,0.001402315,0.5271857,0.0003743138,0.0003788327,0.0006768077,0.1252539,0.296578,0.006769834],"genre_scores_gemma":[0.1126684,0.001042067,0.7278517,0.0004286064,0.00009439368,0.001789445,0.1352547,0.01681207,0.004058492],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01415005,"threshold_uncertainty_score":0.04733664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.082847932915156,"score_gpt":0.2303134025733898,"score_spread":0.1474654696582338,"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."}}