{"id":"W2094122553","doi":"10.1007/s11104-004-1830-y","title":"Mineral nitrogen and microbial dynamics in the forest floor of clearcut or partially harvested successional boreal forest stands","year":2005,"lang":"en","type":"article","venue":"Plant and Soil","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Clearcutting; Seral community; Nitrification; Nitrogen cycle; Forest floor; Agronomy; Basal area; Environmental science; Nitrogen; Animal science; Biology; Ecology; Ecosystem; Chemistry; Ecological succession","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":[0.0001885215,0.00009093378,0.0001371441,0.00002452897,0.00007281901,0.00002529638,0.0001088761,0.00006339655,0.00006722683],"category_scores_gemma":[0.00001230288,0.00005249759,0.00001832198,0.00006072568,0.0001493925,0.00009752664,0.00007421172,0.00008510556,0.000002658951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002773511,"about_ca_system_score_gemma":0.00001469097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001246742,"about_ca_topic_score_gemma":0.4643395,"domain_scores_codex":[0.9993365,0.00003736339,0.0001669345,0.0001472856,0.000110001,0.0002018583],"domain_scores_gemma":[0.9997625,0.00006922046,0.00004390246,0.00006828951,0.000003098299,0.00005294346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002723055,0.00006158692,0.9963126,0.000006093348,0.000005423979,0.00002415318,0.0002672969,0.00008996055,0.0003094182,0.0002553283,0.001266013,0.00112988],"study_design_scores_gemma":[0.0009663891,0.0001506436,0.9681039,0.00001070615,0.00001137348,0.0001057749,0.00009957081,0.02852823,0.0000431232,0.0002409927,0.00164524,0.00009408393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977463,0.00002161186,0.00001651838,0.0005023073,0.00002037067,0.00008178488,0.0001093681,0.000004760994,0.001496904],"genre_scores_gemma":[0.9992806,0.0000687974,0.0001011862,0.0001559586,0.00005102419,0.00000599288,0.0001633772,0.000004421851,0.0001685891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4630927,"threshold_uncertainty_score":0.545435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009347932811118244,"score_gpt":0.2137209641227119,"score_spread":0.2043730313115936,"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."}}