{"id":"W2040909546","doi":"10.1139/x03-080","title":"Microbial biomass, nitrogen and phosphorus mineralization, and mesofauna in boreal conifer and deciduous forest floors following partial and clear-cut harvesting","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soil mesofauna; Deciduous; Forest floor; Biomass (ecology); Litter; Environmental science; Taiga; Ecology; Decomposer; Biology; Agronomy; Ecosystem; Soil biology; Soil water","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001499109,0.00017948,0.0001613424,0.0002159095,0.0002895493,0.0003335928,0.0001662008,0.0001663239,0.0003596603],"category_scores_gemma":[0.0002207377,0.000149813,0.0001357062,0.0001973217,0.0002618681,0.0001349729,0.0001696241,0.0001708488,0.00006293065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007181105,"about_ca_system_score_gemma":0.0004758117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07478038,"about_ca_topic_score_gemma":0.2776841,"domain_scores_codex":[0.9999374,0.000005581544,0.000003815982,0.00001406957,0.00001389172,0.00002521197],"domain_scores_gemma":[0.9997428,0.00002826672,0.00007795149,0.00001148569,0.0000401988,0.00009927793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002188189,0.0002708485,0.8691236,0.00004488432,0.0000755397,0.0003270994,0.000601784,0.0002820096,0.119178,0.00003073443,0.0000900647,0.007787274],"study_design_scores_gemma":[0.000001341098,0.00005317566,0.9994629,5.00423e-7,0.000003335573,0.00001239219,0.00006485591,0.00003481871,0.0003433521,0.000002524182,0.00002011529,7.620926e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998448,0.00003234583,0.00001099866,0.000001363523,3.602009e-7,0.00000150597,0.00004198828,7.063638e-7,0.00006586962],"genre_scores_gemma":[0.999233,0.00004293603,0.00007569253,0.00001097072,7.450402e-7,0.000004520287,0.0003073929,6.577754e-7,0.0003241444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07478038,"threshold_uncertainty_score":0.1486902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137905306966924,"score_gpt":0.270473449310321,"score_spread":0.2490943962406517,"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."}}