{"id":"W2020096766","doi":"10.1038/nature06272","title":"Fire as the dominant driver of central Canadian boreal forest carbon balance","year":2007,"lang":"en","type":"article","venue":"Nature","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":538,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Division of Environmental Biology; National Science Foundation","keywords":"Taiga; Environmental science; Primary production; Boreal; Climate change; Fire regime; Biome; Deciduous; Vegetation (pathology); Dominance (genetics); Disturbance (geology); Ecology; Atmospheric sciences; Ecosystem; 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":[0.0005936584,0.0002548419,0.0002924747,0.0007741941,0.002309721,0.001749229,0.0005424194,0.0004474212,0.002929245],"category_scores_gemma":[0.001347749,0.0002156486,0.0003089849,0.00112409,0.0008183191,0.0006279214,0.0005142821,0.0007263844,0.00009615852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01625129,"about_ca_system_score_gemma":0.01982103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9858134,"about_ca_topic_score_gemma":0.996179,"domain_scores_codex":[0.9997261,0.00001746657,0.000009314414,0.00004470241,0.00008200746,0.0001203762],"domain_scores_gemma":[0.9990638,0.00007912361,0.0001289501,0.00003752388,0.0004655449,0.0002250272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004960482,0.00006874371,0.9196374,0.0001105746,0.0003419695,0.0004182895,0.001084041,0.007690866,0.01010338,0.00477885,0.0113711,0.04389874],"study_design_scores_gemma":[0.00001517961,0.000009319526,0.9866744,0.00001978815,0.00008718794,0.00006453758,0.00106528,0.003023673,0.0004388341,0.0004768088,0.008098213,0.00002681668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800478,0.002114153,0.0004373046,0.003400948,0.00007162076,0.00001675396,0.001433626,0.00005394013,0.01242388],"genre_scores_gemma":[0.9976583,0.0005184978,0.0001329937,0.0001491884,0.00001336754,0.000001988169,0.000151334,0.000008613249,0.001365792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01625129,"threshold_uncertainty_score":0.1179119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001724946465233195,"score_gpt":0.1898146717649772,"score_spread":0.188089725299744,"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."}}