{"id":"W2147735670","doi":"10.1111/j.1365-2435.2012.02007.x","title":"Fine root dynamics with stand development in the boreal forest","year":2012,"lang":"en","type":"article","venue":"Functional Ecology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Chronosequence; Taiga; Biomass (ecology); Biology; Stand development; Nutrient; Boreal; Ecological succession; Ecosystem; Litter; Cycling; Ecology; Phosphorus; Agronomy; Forestry; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004624576,0.00008456317,0.000084896,0.00002412287,0.00008516654,0.000007182473,0.0001038027,0.00005231472,0.0006502044],"category_scores_gemma":[0.00002625124,0.00005332991,0.00001152467,0.0001325702,0.00006934296,0.0001126428,0.00004959512,0.000106991,0.0004941972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004516988,"about_ca_system_score_gemma":0.00002947464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002525943,"about_ca_topic_score_gemma":0.2551507,"domain_scores_codex":[0.999203,0.00007184687,0.0001226711,0.0001296666,0.0001891752,0.0002836213],"domain_scores_gemma":[0.9996216,0.0001831095,0.00004187039,0.0001054591,0.000004428353,0.00004347491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004081437,0.0001057231,0.9944659,0.00000364495,0.000006416505,0.00000432804,0.0001276416,0.0006832582,0.000004642816,0.000622521,0.002306465,0.00162857],"study_design_scores_gemma":[0.0002897722,0.0001091223,0.978839,0.000002385185,0.00000330518,0.00005765945,0.00003015612,0.0009753636,0.00000732068,0.00005325205,0.01955903,0.00007366403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856547,0.00001203188,0.000406863,0.0003480709,0.0003139886,0.0002152261,0.000002976723,0.00001227318,0.0130339],"genre_scores_gemma":[0.9991826,1.269517e-7,0.0001847572,0.00009384388,0.00006798291,0.0001021426,0.00003811298,0.000007334795,0.0003231414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2548981,"threshold_uncertainty_score":0.7584409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006308315759018669,"score_gpt":0.1842773162826788,"score_spread":0.1779690005236602,"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."}}