{"id":"W2345468321","doi":"10.1002/eap.1368","title":"Landscape‐scale consequences of differential tree mortality from catastrophic wind disturbance in the Amazon","year":2016,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Forest ecology and management","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Biological and Environmental Research; Office of Science; Directorate for Biological Sciences; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Disturbance (geology); Environmental science; Windthrow; Boiler blowdown; Spatial ecology; Physical geography; Amazon rainforest; Forest dynamics; Spatial analysis; Ecology; Geography; Atmospheric sciences; Forestry; Biology; Geology","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":[0.0004284443,0.0002047762,0.0001954966,0.0002698522,0.0002201359,0.0004521912,0.0003256065,0.0003200751,0.0006095045],"category_scores_gemma":[0.00198754,0.0001583289,0.000388482,0.0002549729,0.000272207,0.0003138917,0.0003651518,0.0003123718,0.00005842316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006726367,"about_ca_system_score_gemma":0.0002472409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02499815,"about_ca_topic_score_gemma":0.03312898,"domain_scores_codex":[0.9998158,0.00006878378,0.00001374608,0.00004028832,0.00002350212,0.00003806209],"domain_scores_gemma":[0.9992624,0.000315279,0.0002198646,0.00005164322,0.00007920729,0.00007161216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001657571,0.0001006965,0.9063469,0.00006225815,0.0002139321,0.0006440017,0.0002898904,0.07483247,0.009351039,0.0007781248,0.0002670919,0.006947744],"study_design_scores_gemma":[0.0000223385,0.0001327892,0.7920389,0.00001350857,0.00006887831,0.0002813645,0.0004489598,0.2053669,0.0007447291,0.00063993,0.0002212461,0.00002048498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994168,0.00002838512,0.0002444414,0.00004179225,9.351753e-7,0.000002059163,0.00005369323,0.00001241523,0.0001994194],"genre_scores_gemma":[0.9998428,0.00001791628,0.00007087606,0.000004490604,5.398485e-7,0.000001385402,0.00003795915,0.000001553813,0.00002239293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02499815,"threshold_uncertainty_score":0.04970533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172696217499383,"score_gpt":0.2268042076023209,"score_spread":0.2150772454273271,"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."}}