{"id":"W4387880496","doi":"10.1038/s41558-023-01851-w","title":"Forest composition change and biophysical climate feedbacks across boreal North America","year":2023,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Strategic Environmental Research and Development Program; National Aeronautics and Space Administration; U.S. Department of Defense","keywords":"Deciduous; Albedo (alchemy); Radiative forcing; Environmental science; Taiga; Boreal; Climate change; Climatology; Vegetation (pathology); Forcing (mathematics); Atmospheric sciences; Physical geography; Ecology; Geography; Forestry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002456129,0.0003090086,0.0003344912,0.00006288756,0.0003730515,0.00009112703,0.0002549001,0.0002929711,0.00006838502],"category_scores_gemma":[0.00001550467,0.0002757616,0.00008496853,0.000797651,0.0002384191,0.0004890215,0.0006407569,0.0004775581,0.002016637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001412036,"about_ca_system_score_gemma":0.000001476991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006038287,"about_ca_topic_score_gemma":0.002049451,"domain_scores_codex":[0.9976773,0.00007763275,0.000215167,0.0006165202,0.0004157978,0.0009975464],"domain_scores_gemma":[0.9991839,0.0000989859,0.0001416759,0.0003485077,0.00001389257,0.0002130669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002210611,0.0002852257,0.8896867,0.0006452879,0.00003524491,0.0003056747,0.008283559,0.00001016485,0.009035042,0.0001363176,0.005259776,0.08609591],"study_design_scores_gemma":[0.0003749836,0.0001911548,0.9851163,0.00007770277,0.00001802568,0.00001901223,0.0001523076,0.007532405,0.0001867183,0.00001460429,0.005962073,0.0003547012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951428,0.0001304868,0.000001172644,0.001072445,0.0005983082,0.0008530571,0.0009511418,0.000383853,0.0008666965],"genre_scores_gemma":[0.9960007,0.000906149,0.00005072284,0.001097077,0.000694462,0.0003316348,0.0008498481,0.00005735784,0.00001204691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09542958,"threshold_uncertainty_score":0.9999695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850449856531057,"score_gpt":0.2672472481032465,"score_spread":0.2487427495379359,"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."}}