{"id":"W4293085249","doi":"10.1002/bate.202200005","title":"Erdbebenanker für Massivholzkonstruktionen","year":2022,"lang":"de","type":"article","venue":"Bautechnik","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Physics","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":[0.0008979158,0.0005599225,0.0003773122,0.001133024,0.0005612856,0.001302179,0.0004925362,0.0007502267,0.005615354],"category_scores_gemma":[0.001473949,0.0003368935,0.000455292,0.000551648,0.0006353026,0.0008229379,0.0009861046,0.0006462381,0.001311782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004228076,"about_ca_system_score_gemma":0.0004572913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001116277,"about_ca_topic_score_gemma":0.001840983,"domain_scores_codex":[0.9993144,0.0001257538,0.00004026167,0.0000863482,0.0003607792,0.00007232132],"domain_scores_gemma":[0.9992449,0.0002636086,0.0001627767,0.00008889806,0.0001632365,0.00007656143],"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":[0.001334705,0.0002786598,0.00429015,0.0006987209,0.00007671987,0.0002280287,0.0004108856,0.04028699,0.8269055,0.003446223,0.0008681582,0.1211752],"study_design_scores_gemma":[0.0001628917,0.005002391,0.03385476,0.0003734538,0.0002136066,0.0005905506,0.000879196,0.1442322,0.7693179,0.004966222,0.04026229,0.0001446377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8881133,0.003797138,0.0985186,0.000265956,0.0001991165,0.0001275194,0.0003115985,0.0003956578,0.008271148],"genre_scores_gemma":[0.9687894,0.0009486501,0.02360147,0.0000507547,0.00001761747,0.00007498899,0.0002608542,0.0001251542,0.006131023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005615354,"threshold_uncertainty_score":0.01878524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011465725406561,"score_gpt":0.2261260221541972,"score_spread":0.2160113649001316,"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."}}