{"id":"W4391424919","doi":"10.1007/978-3-031-35471-7_22","title":"Assessment of Current Analysis Methodology of Light-Frame Wood Buildings Under Lateral Loads Using Wood3D","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Current (fluid); Frame (networking); Structural engineering; Architectural engineering; Environmental science; Computer science; Engineering; Mechanical engineering; Electrical engineering","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":[0.0002478186,0.0006372166,0.001312573,0.001090428,0.00001638523,0.00002942976,0.0002396295,0.0005257765,0.0001344953],"category_scores_gemma":[0.00002679257,0.0005810515,0.0004878624,0.0004062261,0.00003663906,0.00007078936,0.0001200358,0.000934377,0.000002425283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003121434,"about_ca_system_score_gemma":0.00003717017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000038235,"about_ca_topic_score_gemma":0.0002199824,"domain_scores_codex":[0.9981407,0.00001887159,0.0007353779,0.0004078825,0.0002882873,0.0004088988],"domain_scores_gemma":[0.9990243,0.0003152522,0.000124635,0.00041783,0.00005598206,0.00006203187],"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":[0.000005076929,0.00001465222,0.0002613855,0.001431718,0.002813858,0.00001391734,0.0004953631,0.9775038,0.01154494,0.004572746,0.000002943039,0.001339571],"study_design_scores_gemma":[0.001271582,0.00036959,0.000933383,0.007253013,0.009706757,0.00004288597,0.00001720814,0.8667212,0.07327615,0.02949937,0.00750303,0.003405897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04059975,0.06666046,0.8770414,0.0000716494,0.003162169,0.000634833,0.0001690486,0.0006033012,0.01105737],"genre_scores_gemma":[0.9839711,0.0004310046,0.01493428,0.000004926438,0.0001894174,0.00001238997,0.00004025798,0.000173508,0.000243095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9433714,"threshold_uncertainty_score":0.9996641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04173999322288657,"score_gpt":0.2902668955550448,"score_spread":0.2485269023321582,"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."}}