{"id":"W2930192183","doi":"10.1111/aec.12751","title":"Emergent freeze and fire disturbance dynamics in temperate rainforests","year":2019,"lang":"en","type":"article","venue":"Austral Ecology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests","funders":"","keywords":"Biome; Rainforest; Temperate rainforest; Ecology; Disturbance (geology); Climate change; Temperate forest; Geography; Southern Hemisphere; Temperate climate; Vegetation (pathology); Environmental science; Fire regime; Snow; Physical geography; Ecosystem; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002404048,0.00008452297,0.0001558417,0.0005069681,0.0002313242,0.0006199423,0.0001530864,0.0002087819,0.001988506],"category_scores_gemma":[0.0007526532,0.00006651673,0.000116858,0.0003070584,0.0002164256,0.0002579238,0.0002850091,0.0002018816,0.0001654779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003443639,"about_ca_system_score_gemma":0.0001345991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01365729,"about_ca_topic_score_gemma":0.02771822,"domain_scores_codex":[0.9999368,0.000009314956,0.000004127097,0.00001719731,0.0000107487,0.00002181287],"domain_scores_gemma":[0.999652,0.00007360645,0.000120116,0.00001796733,0.00004236976,0.00009385184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007132885,0.0000366846,0.9919724,0.00001380717,0.00002668045,0.0001210808,0.0005684101,0.001160483,0.002088187,0.000197803,0.0001651365,0.003577945],"study_design_scores_gemma":[0.000001439813,0.000009158681,0.9982362,0.000002522779,0.000001655219,0.00002688256,0.0003291728,0.00113625,0.00003324156,0.00008696512,0.0001353074,0.000001301821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994341,0.0000462292,0.00006003295,0.00001978386,9.893351e-7,0.000001218397,0.00008614943,0.000002056433,0.0003494827],"genre_scores_gemma":[0.9997876,0.0000243733,0.00002334763,0.000005816897,0.000002458627,0.000001233228,0.0000750789,7.44513e-7,0.00007923404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01365729,"threshold_uncertainty_score":0.02715558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003962034871778669,"score_gpt":0.2048353670629444,"score_spread":0.2008733321911657,"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."}}