{"id":"W2327317136","doi":"10.1139/cjfr-2013-0086","title":"Chemical transformations in downed logs and snags of mixed boreal species during decomposition","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mokpo National University","keywords":"Snag; Forest floor; Taiga; Deciduous; Decomposer; Environmental science; Coarse woody debris; Lignin; Carbon cycle; Ecology; Chemistry; Botany; Soil water; Ecosystem; Soil science; Biology; Habitat","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000298465,0.00004730432,0.0001229591,0.0001051448,0.00020543,0.00003020685,0.0001476781,0.0000666124,0.0001883372],"category_scores_gemma":[0.00007203293,0.00002101321,0.00003769906,0.0002434391,0.0003427484,0.0001776655,0.00001799644,0.000207929,0.000006363317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006110416,"about_ca_system_score_gemma":0.00004859814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01239055,"about_ca_topic_score_gemma":0.2521572,"domain_scores_codex":[0.9993159,0.00005717602,0.0001834946,0.00006134875,0.0001276142,0.0002545186],"domain_scores_gemma":[0.9994091,0.0001276628,0.00004161425,0.00001754124,0.0002107707,0.0001932807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002629258,0.00002043561,0.9859199,0.00001289783,0.00001243771,0.00002174808,0.0003294244,0.000002269074,0.01106983,0.0003244707,0.0009584544,0.001301855],"study_design_scores_gemma":[0.0001821241,0.0001445996,0.995563,0.00002555412,0.000002514662,0.00002746214,0.0007908475,0.000003515928,0.002055526,0.0009340049,0.0002324221,0.00003844213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956611,0.0001176997,1.976648e-7,0.003425564,0.00002649129,0.0001007906,0.00002053428,0.000001129433,0.0006464387],"genre_scores_gemma":[0.9998105,0.00007004844,0.0000293312,0.000009037091,0.00003835351,0.000001883013,0.000007745424,2.47184e-7,0.00003282614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2397666,"threshold_uncertainty_score":0.994186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03279916453963581,"score_gpt":0.2478779202966143,"score_spread":0.2150787557569784,"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."}}