{"id":"W3024092481","doi":"","title":"To spatially explicitly quantify the indirect effect of disturbances on carbon cycle of Canada's forests","year":2001,"lang":"en","type":"article","venue":"AGUFM","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Carbon cycle; Environmental science; Carbon fibers; Climate change; Carbon sink; Atmospheric sciences; Natural resource economics; Climatology; Econometrics; Ecosystem; Economics; Ecology; Mathematics; Biology; Geology","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":[0.0005624652,0.0003747579,0.0003501671,0.0006722721,0.0008456393,0.001804062,0.0007375586,0.0006624988,0.001533549],"category_scores_gemma":[0.00378405,0.0002236131,0.0003777395,0.001478971,0.0009437671,0.001262714,0.0008553577,0.0006788239,0.00008554058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01343354,"about_ca_system_score_gemma":0.01216394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9237538,"about_ca_topic_score_gemma":0.9757645,"domain_scores_codex":[0.9995685,0.00008914677,0.00001555896,0.00006861669,0.0001398378,0.0001182054],"domain_scores_gemma":[0.9988531,0.000401111,0.0002059643,0.0001316983,0.0003166245,0.00009146438],"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":[0.00006217663,0.00006358594,0.180125,0.0001132803,0.0002446525,0.00007464896,0.0001843016,0.7572437,0.002518396,0.03470566,0.001292724,0.0233718],"study_design_scores_gemma":[0.00002773455,0.00004092238,0.2279064,0.00007806581,0.0001804546,0.00007796276,0.0006596667,0.7399178,0.002255978,0.02075515,0.008061428,0.00003855732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523786,0.0006248034,0.02629196,0.0007669544,0.00003285831,0.00006383182,0.002055138,0.0001397281,0.01764611],"genre_scores_gemma":[0.992119,0.0001893233,0.005909625,0.00006987554,0.00000690561,0.00001875609,0.0003199582,0.00001577952,0.001350787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0762462,"threshold_uncertainty_score":0.1533904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006554090587974959,"score_gpt":0.2243491288753398,"score_spread":0.2177950382873649,"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."}}