{"id":"W7161845440","doi":"10.82308/24620","title":"Understanding and modelling moss carbon dynamics in black spruce forests","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Black spruce; Moss; Carbon accounting; Carbon stock; Greenhouse gas; Forest ecology; Forest management; Climate change; Ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.000317007,0.0005878214,0.0003682605,0.0003909594,0.0007015868,0.001393351,0.001011199,0.001155232,0.0009172588],"category_scores_gemma":[0.000805768,0.0003007419,0.0005721999,0.0004748688,0.0005864394,0.001042175,0.0006138348,0.0006513936,0.0001310402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003315655,"about_ca_system_score_gemma":0.003825706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.481042,"about_ca_topic_score_gemma":0.3834531,"domain_scores_codex":[0.9999111,0.00001574794,0.000003778673,0.00002059344,0.00001477205,0.00003399791],"domain_scores_gemma":[0.9997681,0.0000969671,0.00004315213,0.00001065404,0.00004062855,0.00004050699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002653743,0.00002750948,0.00662424,0.00002895407,0.00001521895,0.00006842563,0.00006314073,0.9863786,0.001483921,0.003007567,0.000213754,0.002062237],"study_design_scores_gemma":[0.00001282477,0.00001766882,0.003205991,0.00001120608,0.00001090363,0.00001367962,0.00009699685,0.9938823,0.0003316882,0.001508485,0.0008973708,0.00001087285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551124,0.0008853083,0.02201626,0.000768852,0.00004703112,0.00008735846,0.001184381,0.0001808077,0.01971752],"genre_scores_gemma":[0.9898182,0.0005697474,0.006402641,0.00005293876,0.00001455319,0.00003826708,0.0002807954,0.00002753983,0.002795384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.481042,"threshold_uncertainty_score":0.9564841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02643544254417841,"score_gpt":0.2379884205912495,"score_spread":0.2115529780470711,"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."}}