{"id":"W2337354969","doi":"10.1177/1369433216642079","title":"Using numerical procedures to quantify seismic reliability of wood shear walls and braced frames","year":2016,"lang":"en","type":"article","venue":"Advances in Structural Engineering","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Structural engineering; Probabilistic logic; Ground motion; Reliability (semiconductor); Incremental Dynamic Analysis; Monte Carlo method; Conditional probability; Engineering; Computer science; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000430022,0.0001805174,0.0002468318,0.00008964299,0.00001838888,0.00001215727,0.00009261208,0.00005511199,0.000009087197],"category_scores_gemma":[0.0001140266,0.0001223316,0.00002872233,0.0001647746,0.00002820261,0.000411221,0.00003684651,0.00008082556,0.000001411414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006249775,"about_ca_system_score_gemma":0.000007768864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001562004,"about_ca_topic_score_gemma":0.000004080184,"domain_scores_codex":[0.9992288,0.00000772,0.0002325767,0.0001827311,0.000106701,0.0002414576],"domain_scores_gemma":[0.9996716,0.00009300386,0.00001956971,0.0001365463,0.0000187421,0.00006049032],"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":[0.00003319117,0.000004140029,0.01518566,0.0003431397,0.00002016999,0.000003253666,0.0005015832,0.9093671,0.06004882,0.0001973251,0.000002265231,0.01429328],"study_design_scores_gemma":[0.001629967,0.0002859869,0.08595584,0.001496968,0.00003902658,0.00005644642,0.0001906772,0.6677384,0.2376898,0.001886606,0.001739963,0.001290281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889853,0.002982604,0.007440388,0.00005231955,0.0002084967,0.0001556428,0.000007864343,0.0001269773,0.00004039233],"genre_scores_gemma":[0.9832249,0.0001966987,0.01649605,0.000006256771,0.00003297063,0.000009610595,6.17258e-7,0.00002644697,0.00000650624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2416288,"threshold_uncertainty_score":0.4988536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009034204023608421,"score_gpt":0.2495542344661528,"score_spread":0.2405200304425444,"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."}}