{"id":"W2944175831","doi":"10.1093/forestry/cpz027","title":"Buckling behaviour of trees under self-weight loading","year":2019,"lang":"en","type":"article","venue":"Forestry An International Journal of Forest Research","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Buckling; Rigidity (electromagnetism); Stiffness; Structural engineering; Finite element method; Critical load; Instability; Mathematics; Engineering; Mechanics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001497636,0.000104616,0.0001663726,0.0003451005,0.0002501775,0.0002554668,0.0001916232,0.0001843759,0.001137398],"category_scores_gemma":[0.0003774691,0.00008384271,0.0001311672,0.000137987,0.0002266193,0.0001781226,0.0001604811,0.000148914,0.0001926449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002294625,"about_ca_system_score_gemma":0.0001260069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002917848,"about_ca_topic_score_gemma":0.005022014,"domain_scores_codex":[0.9999202,0.000007619889,0.00000484533,0.00001423163,0.00003649756,0.00001656988],"domain_scores_gemma":[0.999785,0.00006453865,0.00004197724,0.00001538334,0.00006056494,0.00003256554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003349659,0.00009403589,0.04825021,0.0001179319,0.00004133195,0.0006129565,0.0006397688,0.07282607,0.8592381,0.0004780657,0.0002201103,0.01714654],"study_design_scores_gemma":[0.00001744709,0.0007683244,0.3319571,0.00003476917,0.00003867335,0.0005193158,0.0009507411,0.4551879,0.208418,0.0007767386,0.001272019,0.00005904297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986361,0.00002505532,0.000857464,0.000003429946,0.000001101034,0.000003030871,0.00002917114,0.00001333679,0.0004313574],"genre_scores_gemma":[0.9995071,0.000009687094,0.0002123385,0.000002725638,3.700656e-7,0.0000016138,0.00002801953,0.000003025866,0.0002351987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002917848,"threshold_uncertainty_score":0.005801678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03773350508835611,"score_gpt":0.3418910928625108,"score_spread":0.3041575877741547,"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."}}