{"id":"W7109140690","doi":"10.1016/j.engstruct.2025.121897","title":"Experimental testing and comparison with analytical methods for glued-in rods in cross-laminated timber","year":2025,"lang":"en","type":"article","venue":"Engineering Structures","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of British Columbia, Okanagan Campus; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rod; Experimental data; Materials testing; Cross laminated timber","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00008295632,0.0001729821,0.000237983,0.0001740485,0.00002378823,0.00005065458,0.00005710205,0.00006712691,0.000004035277],"category_scores_gemma":[0.0000620229,0.0001431733,0.00001698609,0.0002466416,0.00002437636,0.00006817429,0.00001836545,0.0001287318,1.388954e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000648472,"about_ca_system_score_gemma":0.000007512813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000317163,"about_ca_topic_score_gemma":0.000006595435,"domain_scores_codex":[0.9993899,0.00001062843,0.0001830336,0.0001565862,0.00004065694,0.0002191562],"domain_scores_gemma":[0.9996789,0.0001877071,0.000009270633,0.00008618313,0.00001156265,0.00002645109],"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":[0.00003368117,0.00001331314,0.04727921,0.0001491806,0.00005754273,0.000005041979,0.0003130402,0.9439619,0.004388079,0.0009082087,0.00002307171,0.002867765],"study_design_scores_gemma":[0.0008219574,0.00005367192,0.1273281,0.00008425741,0.00001291316,0.000002581555,0.00005298267,0.8220724,0.04915996,0.00006750661,0.0001735211,0.0001700884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769132,0.00213832,0.02003117,0.000009203983,0.0001213803,0.0002059473,0.000002256691,0.0001661437,0.000412341],"genre_scores_gemma":[0.860606,0.00000122901,0.1392699,0.000003779753,0.00001479638,0.00004006289,0.000003227598,0.0000202797,0.00004079569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1218894,"threshold_uncertainty_score":0.5838439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797944774381251,"score_gpt":0.3371259597806568,"score_spread":0.3191465120368444,"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."}}