{"id":"W3198494465","doi":"10.48044/jauf.2013.028","title":"Mechanical Properties of Green Wood and Their Relevance for Tree Risk Assessment","year":2013,"lang":"en","type":"article","venue":"Arboriculture & Urban Forestry","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Temperate climate; Context (archaeology); Snow; Hardwood; Green wood; Young's modulus; Mathematics; Materials science; Composite material; Moisture; Meteorology; Ecology; Geology; Wood drying; Geography; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006035617,0.0001892263,0.0002640231,0.00001859264,0.00007247147,0.00002058733,0.0001102741,0.0001006573,0.000003540673],"category_scores_gemma":[0.00004738537,0.0001117491,0.00008017799,0.00007813552,0.00005345123,0.000145385,0.00004047699,0.0001604558,0.00000161501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003082849,"about_ca_system_score_gemma":0.000007813951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009050146,"about_ca_topic_score_gemma":0.001039359,"domain_scores_codex":[0.999284,0.00001422027,0.000215927,0.000179081,0.0000908998,0.0002158374],"domain_scores_gemma":[0.9995573,0.00006513665,0.00004602124,0.0001851689,0.0000883083,0.00005811565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000188174,0.0008890241,0.46255,0.004172819,0.002923767,0.000005566468,0.01803254,0.001224844,0.2293616,0.02680351,0.09621996,0.1576282],"study_design_scores_gemma":[0.002045227,0.0006615029,0.8958666,0.0002806562,0.0002187215,0.00000753391,0.003344052,0.01636349,0.04786135,0.01180119,0.02049651,0.001053167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950719,0.00298352,0.0005009228,0.0002437156,0.000121895,0.000500995,0.00003449134,0.0001371496,0.0004054246],"genre_scores_gemma":[0.998448,0.00009795954,0.0009458018,0.000006399452,0.0001159435,0.0002042107,0.000004212285,0.00001881946,0.0001586509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4333166,"threshold_uncertainty_score":0.4556996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009298165716717174,"score_gpt":0.189807959082024,"score_spread":0.1805097933653068,"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."}}