{"id":"W2035152764","doi":"10.1139/f09-111","title":"Benthic bioturbator enhances CH<sub>4</sub> fluxes among aquatic compartments and atmosphere in experimental microcosms","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Petrobras; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Microcosm; Benthic zone; Sediment; Bioturbation; Water column; Environmental chemistry; Invertebrate; Environmental science; Aquatic ecosystem; Pelagic zone; Microbial loop; Atmosphere (unit); Ecology; Ecosystem; Oceanography; Chemistry; Biology; Geology; Food web; Geomorphology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001827415,0.0004974171,0.0004251522,0.0002249466,0.0002916452,0.0006171195,0.0003464159,0.0002381249,0.0006784998],"category_scores_gemma":[0.0002541237,0.0002976084,0.0002651572,0.0001480526,0.0004071595,0.0002562135,0.0006911363,0.0005337534,0.0001313143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005727201,"about_ca_system_score_gemma":0.0004963753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005663753,"about_ca_topic_score_gemma":0.01060799,"domain_scores_codex":[0.9996735,0.00004429289,0.00002546677,0.0001233246,0.00005899215,0.00007441152],"domain_scores_gemma":[0.9995759,0.00005818054,0.0001198114,0.00003968975,0.00005056032,0.0001558819],"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":[0.0005218537,0.00009836552,0.002546661,0.00002433482,0.0000089261,0.00002702334,0.00004847826,0.00005603495,0.995859,0.00001359454,0.00001555929,0.0007801754],"study_design_scores_gemma":[0.0001414568,0.005996716,0.221494,0.00001546582,0.0001227384,0.0001588703,0.0004045653,0.003017606,0.7673965,0.00009918826,0.001109779,0.0000430856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994512,0.00005766181,0.0001373487,0.00001381337,0.000004645386,0.0000171822,0.000114315,0.0000114674,0.0001923727],"genre_scores_gemma":[0.9970351,0.0001289132,0.001687758,0.00006979224,0.000007908296,0.00006427851,0.0002156179,0.00001183923,0.0007787932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005663753,"threshold_uncertainty_score":0.01126158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155650835217766,"score_gpt":0.225591230793016,"score_spread":0.2100261472712394,"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."}}