{"id":"W4232297583","doi":"10.22215/etd/2018-13403","title":"Performance of Post-Tensioned Timber and Engineered Timber Adhesives with Fire Exposure","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Canterbury","keywords":"Deflection (physics); Adhesive; Structural engineering; Engineering; Char; Forensic engineering; Environmental science; Materials science; Layer (electronics); Composite material; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004551905,0.0003584194,0.0003183869,0.0003841576,0.0002962205,0.0004707389,0.0004271625,0.0004466267,0.002491206],"category_scores_gemma":[0.001154442,0.0002218593,0.0003266409,0.0002914565,0.0003094884,0.0004210945,0.0003345745,0.0003616428,0.0005676121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002324445,"about_ca_system_score_gemma":0.0002098303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001268529,"about_ca_topic_score_gemma":0.002320889,"domain_scores_codex":[0.9996582,0.00002617027,0.00001870979,0.00006061486,0.0001449118,0.00009139244],"domain_scores_gemma":[0.9991683,0.0001821269,0.0001309517,0.00008608145,0.0003118572,0.00012078],"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":[0.002109242,0.0004793243,0.005871502,0.0001972054,0.00004487911,0.0005324657,0.0003333372,0.01347636,0.9505823,0.0001824407,0.0003339162,0.02585706],"study_design_scores_gemma":[0.0000588523,0.007672205,0.03023901,0.00004313309,0.0001119432,0.00043201,0.000636621,0.03797088,0.9203456,0.0001218928,0.002322843,0.00004500007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987383,0.0001721401,0.0003382897,0.00000663707,0.00001872494,0.000005585531,0.00004713864,0.0000194515,0.0006538059],"genre_scores_gemma":[0.9978057,0.0001267788,0.0004697768,0.00001069417,0.000003615265,0.000004819146,0.00004200403,0.0000134266,0.001523191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002491206,"threshold_uncertainty_score":0.008333921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00293399010347736,"score_gpt":0.1869612043606537,"score_spread":0.1840272142571763,"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."}}