{"id":"W2034571563","doi":"10.1061/(asce)st.1943-541x.0000744","title":"Probabilistic Models for Structural Performance of Rounded Dovetail Joints","year":2012,"lang":"en","type":"article","venue":"Journal of Structural Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Probabilistic logic; Statistical model; Bayesian inference; Calibration; Bayesian probability; Flange; Structural engineering; Mathematics; Engineering; Computer science; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002358409,0.0003198084,0.0006211073,0.0002969633,0.00005462237,0.00003709841,0.0003191037,0.0001149738,0.00002688158],"category_scores_gemma":[0.0001170982,0.0002620326,0.0003097604,0.0002839299,0.00003623106,0.001083997,0.00003524969,0.0003539177,9.218358e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002273835,"about_ca_system_score_gemma":0.00002166795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006185359,"about_ca_topic_score_gemma":6.827779e-7,"domain_scores_codex":[0.9981089,0.0000107563,0.0008579405,0.0001152299,0.0003789088,0.0005282118],"domain_scores_gemma":[0.9989617,0.0001073825,0.0002672717,0.0002188718,0.0002417582,0.0002030256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004139501,0.000002006381,0.001216605,0.0004477317,0.0002746994,9.859672e-7,0.0003064813,0.920383,0.0753627,0.0005866911,0.00002024947,0.001357481],"study_design_scores_gemma":[0.0006368367,0.000102311,0.02050524,0.0001255954,0.0001594522,0.0002637612,0.00004319931,0.9159732,0.06120063,0.000590044,0.00004455794,0.0003551476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948484,0.001303803,0.00223286,0.000008472531,0.001315709,0.000152394,0.00001350479,0.00007549211,0.00004940848],"genre_scores_gemma":[0.983551,0.00003381574,0.01581761,0.00000357702,0.0005139353,0.000004296507,0.000004247775,0.00005880073,0.00001277405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01928863,"threshold_uncertainty_score":0.9999832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476712595339112,"score_gpt":0.2126977478610934,"score_spread":0.1979306219077023,"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."}}