{"id":"W2946898319","doi":"10.3389/fmars.2019.00132","title":"Sampling and Processing Methods Impact Microbial Community Structure and Potential Activity in a Seasonally Anoxic Fjord: Saanich Inlet, British Columbia","year":2019,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Science; Consejo Nacional de Ciencia y Tecnología; Genome British Columbia; Genome Canada; Tula Foundation; Joint Genome Institute; Canadian Institute for Advanced Research; U.S. Department of Energy","keywords":"Fjord; Anoxic waters; Oceanography; Biology; Water column; Inlet; Environmental science; Planctomycetes; Ecology; 16S ribosomal RNA; Bacteroidetes; Geology; Paleontology","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":[],"consensus_categories":[],"category_scores_codex":[0.001834818,0.0001361438,0.0003126125,0.00008082999,0.0005622966,0.0002320368,0.0007096748,0.0001322674,0.0006003037],"category_scores_gemma":[0.0001736543,0.0001817628,0.00002453096,0.0006938457,0.001300561,0.0006567395,0.00259843,0.0009337706,0.000001446104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002523704,"about_ca_system_score_gemma":0.00009515824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0306456,"about_ca_topic_score_gemma":0.1267937,"domain_scores_codex":[0.9981255,0.0007144626,0.0001787593,0.0003935038,0.00011832,0.0004694703],"domain_scores_gemma":[0.9993555,0.0000864012,0.00009623818,0.0003476862,0.00001381768,0.0001003361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004001165,0.00004159743,0.7602343,0.00001958511,0.00000245429,0.000002353765,0.000364822,0.0001945829,0.1939565,2.457402e-7,0.0001831674,0.04496036],"study_design_scores_gemma":[0.0004927806,0.00009912717,0.9926671,0.00002565968,0.000004615408,0.00006486646,0.0001571549,0.002139889,0.0002646825,0.003834508,0.00005205401,0.0001975763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986132,0.00002523424,0.0005602253,0.00003546607,0.0002668838,0.0002821233,0.00001220644,0.00001269598,0.0001919553],"genre_scores_gemma":[0.9303994,0.00001786167,0.06936399,0.0001147824,0.000008802996,0.000002472552,0.000007505758,0.000008020213,0.00007714137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2324328,"threshold_uncertainty_score":0.9758094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007379319184202975,"score_gpt":0.2679017721535478,"score_spread":0.2605224529693448,"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."}}