{"id":"W3196421812","doi":"10.3389/ffgc.2021.700751","title":"Microbial Substrate Utilization and Vegetation Shifts in Boreal Forest Floors of Western Canada","year":2021,"lang":"en","type":"article","venue":"Frontiers in Forests and Global Change","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Taiga; Environmental science; Boreal; Deciduous; Forest floor; Vegetation (pathology); Substrate (aquarium); Litter; Ecology; Boreal ecosystem; Decomposer; Microbial population biology; Soil water; Agronomy; Ecosystem; Biology; Soil science","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":[0.00005758444,0.00007643664,0.0001298609,0.000009740275,0.00002148707,0.00001731813,0.00004076784,0.00006287596,0.000001115363],"category_scores_gemma":[0.00001077913,0.00004155261,0.00001373361,0.0002327667,0.00003582086,0.00006950516,0.00002700394,0.00003788783,4.137058e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004998106,"about_ca_system_score_gemma":0.000022641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2548474,"about_ca_topic_score_gemma":0.9931456,"domain_scores_codex":[0.9994563,0.0000297648,0.0001328465,0.0001524153,0.00008363928,0.0001450085],"domain_scores_gemma":[0.999855,0.000009308395,0.00004041357,0.00002146979,0.00002651338,0.00004727644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002177384,0.00001465487,0.982209,0.00001463348,0.000002840844,0.00001750754,0.00006294701,0.000002461566,0.00003082578,0.0001154172,0.00005322137,0.01745467],"study_design_scores_gemma":[0.0002205751,0.00003308175,0.9966297,0.00003222266,0.000004333376,0.000003733725,0.000195536,0.001886696,0.000050117,0.0007144506,0.000154492,0.00007509371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971892,0.002155666,0.000002694141,0.0001999063,0.0001870381,0.00009467446,0.00005368517,0.000003995218,0.0001131624],"genre_scores_gemma":[0.99936,0.0003172894,0.00004927849,0.000100114,0.00003732691,0.000004815073,0.0001257571,5.68446e-7,0.000004893768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7382982,"threshold_uncertainty_score":0.7501146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190333630313631,"score_gpt":0.2186640643398019,"score_spread":0.1967607280366656,"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."}}