{"id":"W4401506410","doi":"10.1007/s11104-024-06895-1","title":"Depth and microtopography influence microbial biogeochemical processes in a forested peatland","year":2024,"lang":"en","type":"article","venue":"Plant and Soil","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Peat; Biogeochemical cycle; Cycling; Environmental science; Water table; Nutrient cycle; Wetland; Biomass (ecology); Ecosystem; Boreal; Bog; Ecology; Microbial population biology; Hydrology (agriculture); Geology; Biology; Groundwater; Forestry; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007320345,0.00009620376,0.0001096713,0.00005782512,0.00004330925,0.00005884356,0.00005558405,0.00006824901,0.00002937267],"category_scores_gemma":[0.00001400876,0.00007352218,0.00001346513,0.0001771684,0.0001374724,0.00009316215,0.00007601098,0.00008988829,0.000009103514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009776351,"about_ca_system_score_gemma":0.00001013761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005515557,"about_ca_topic_score_gemma":0.008191772,"domain_scores_codex":[0.999392,0.00001127105,0.0001046498,0.0002485697,0.00005151141,0.0001920362],"domain_scores_gemma":[0.9998147,0.00006535559,0.00001185584,0.00004511271,0.000002122513,0.00006082025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002921639,0.00001815693,0.980407,0.0000710476,0.000005457218,0.00007205973,0.0004262857,0.000002760955,0.01736036,0.00001596359,0.0008334949,0.0007582068],"study_design_scores_gemma":[0.0007651906,0.0001152162,0.9664181,0.0001532476,0.00002250876,0.0004623951,0.00004956487,0.0006650669,0.004331816,0.001272759,0.02541437,0.0003297994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980632,0.0006417654,0.000002428052,0.000151442,0.00002490438,0.00009274201,0.00004286603,0.00002605197,0.0009546065],"genre_scores_gemma":[0.9992391,0.0004986197,0.00004473708,0.00008489318,0.00002178238,0.00001505365,0.00005545076,0.000004639579,0.00003566473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02458088,"threshold_uncertainty_score":0.4571201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00587567618405934,"score_gpt":0.2008845920260392,"score_spread":0.1950089158419799,"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."}}