{"id":"W4210749931","doi":"10.47068/ctns.2021.v10i19.045","title":"APPLICATION OF METAGENOMICS IN ECOLOGY: A BRIEF OVERVIEW","year":2021,"lang":"en","type":"article","venue":"CURRENT TRENDS IN NATURAL SCIENCES","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Metagenomics; Biology; Ecology; Data science; Niche; Computational biology; Computer science; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001937502,0.001138,0.001425413,0.006159343,0.0005027456,0.002810288,0.0012368,0.001899277,0.002941032],"category_scores_gemma":[0.002002375,0.000633943,0.001486182,0.006995513,0.001058529,0.003117798,0.001397411,0.00217137,0.002207801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038798,"about_ca_system_score_gemma":0.00153258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088778,"about_ca_topic_score_gemma":0.0009389257,"domain_scores_codex":[0.998979,0.0003545753,0.0001328449,0.0002009376,0.0002666322,0.0000660126],"domain_scores_gemma":[0.9989172,0.0006636828,0.0001115363,0.00007059119,0.0001595925,0.00007741046],"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":[0.0001591237,0.0001740144,0.004134932,0.02638303,0.0004203061,0.001445801,0.0009279508,0.003829459,0.01388731,0.07738457,0.02601691,0.8452366],"study_design_scores_gemma":[0.00001072264,0.0001641952,0.00406747,0.004178926,0.0001742538,0.003436596,0.0003451087,0.003208185,0.0037128,0.04752595,0.9330678,0.0001079777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002011707,0.8913999,0.09083234,0.003490133,0.001853871,0.0001245009,0.0005306919,0.0004947073,0.009262075],"genre_scores_gemma":[0.01555266,0.8866301,0.08792678,0.002177958,0.003369462,0.0002217749,0.0009683314,0.0002042596,0.002948664],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006159343,"threshold_uncertainty_score":0.01024663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04132714722584632,"score_gpt":0.3685232942713047,"score_spread":0.3271961470454584,"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."}}