{"id":"W2912053446","doi":"10.1002/lno.11130","title":"Annual bacterial community cycle in a seasonally ice‐covered river reflects environmental and climatic conditions","year":2019,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; University of Victoria; Center for Northern Studies; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Biogeochemical cycle; Biology; Carbon cycle; Gammaproteobacteria; Ecological niche; Ecosystem; Environmental science; Habitat; Bacteria; 16S ribosomal RNA","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002161086,0.000147062,0.0002282246,0.00008219611,0.0003253678,0.000006842644,0.0001835488,0.0002232021,0.002687776],"category_scores_gemma":[0.00001041812,0.0001507376,0.00004090428,0.0001092447,0.001093869,0.0002083497,0.000408144,0.0005480294,0.0001935475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002245427,"about_ca_system_score_gemma":0.000005030139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001089144,"about_ca_topic_score_gemma":0.00130219,"domain_scores_codex":[0.9986525,0.0006511558,0.0001649051,0.0002029266,0.00004375181,0.0002848188],"domain_scores_gemma":[0.9993622,0.0002569093,0.00006461039,0.0002486203,0.00000186178,0.00006579796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002136654,0.0003182131,0.9578799,0.00001872865,0.00003885794,0.000005227169,0.003952173,0.00001986004,0.03672883,0.0002231563,0.0004097107,0.0001916999],"study_design_scores_gemma":[0.001040197,0.0004164655,0.9896306,0.000008674319,0.0000163715,0.0000323712,0.0005853106,0.00003912624,0.0000988812,0.006502962,0.001462807,0.0001661944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980459,0.00005630892,9.820309e-7,0.000134541,0.0001053076,0.0002064629,0.0001864718,0.0000197535,0.00124426],"genre_scores_gemma":[0.9987931,0.0001264502,0.0001047918,0.0007439999,0.000009597494,0.000006364026,0.0001573184,0.000007375558,0.00005102476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03662995,"threshold_uncertainty_score":0.9982239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004880565968230908,"score_gpt":0.2079349615724394,"score_spread":0.2030543956042085,"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."}}