{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001744413,0.000116424,0.0001749138,0.00001932215,0.00003063128,0.00001093839,0.0001394181,0.0001085324,0.001746264],"category_scores_gemma":[0.00002888406,0.000109077,0.00002115186,0.0001166925,0.00009122259,0.0001345989,0.0001226245,0.0001368307,0.001305098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003511186,"about_ca_system_score_gemma":0.000007193412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001972499,"about_ca_topic_score_gemma":0.02664855,"domain_scores_codex":[0.9990672,0.00005111138,0.000190154,0.0002816687,0.00008340946,0.0003264801],"domain_scores_gemma":[0.9996412,0.00005520962,0.00005357531,0.0001782965,0.000002321902,0.00006944608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008744708,0.00002491107,0.9965156,0.00001232935,0.000003769353,0.00001385094,0.00005827818,0.0005187101,0.0003504211,0.0001383285,0.0005555581,0.00179947],"study_design_scores_gemma":[0.0003534729,0.0001461506,0.9643165,0.000006579462,0.000002204487,0.00001355988,0.00003463688,0.03380599,0.00004899771,0.00007745299,0.001067886,0.0001265715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961928,0.00001057641,0.000001085118,0.0003407456,0.0004409045,0.0003537227,0.000007005231,0.00001475152,0.002638399],"genre_scores_gemma":[0.9963686,0.000009201367,0.00006433624,0.0000964506,0.00001435355,0.00002262815,0.000009098011,0.000009382648,0.003405905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03328728,"threshold_uncertainty_score":0.9994725,"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."}}