{"id":"W1986439457","doi":"10.1139/l07-062","title":"Rheological modelling of masonry creepThis article is one of a selection of papers published in this Special Issue on Masonry.","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Bureau of Reclamation","keywords":"Masonry; Creep; Rheology; Mortar; Structural engineering; Geotechnical engineering; Shrinkage; Materials science; Stress (linguistics); Geology; Composite material; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002530159,0.0004605817,0.0004818556,0.0003980415,0.0002085965,0.0004117872,0.0004772996,0.0005323432,0.0007335879],"category_scores_gemma":[0.0008204721,0.0002169644,0.0004744697,0.0003115489,0.0002873076,0.0004438662,0.000203015,0.0002446103,0.0002172434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002584831,"about_ca_system_score_gemma":0.0003237311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003844762,"about_ca_topic_score_gemma":0.005015845,"domain_scores_codex":[0.9998953,0.00002453425,0.000008936572,0.00001756695,0.00003833573,0.0000152512],"domain_scores_gemma":[0.9998211,0.00005715222,0.00004405747,0.00003113515,0.00003955121,0.000007003255],"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":[0.00007641441,0.0001286216,0.007425055,0.0001949482,0.00004590485,0.0003308018,0.00026743,0.836435,0.1164342,0.004453092,0.0004396516,0.03376897],"study_design_scores_gemma":[0.00000566586,0.00006298882,0.003122851,0.00001229066,0.00001080766,0.00009271605,0.00002360687,0.9865095,0.008450093,0.0005062083,0.001194103,0.000009267587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.680603,0.001510167,0.3096669,0.0001324076,0.00005975596,0.00009406322,0.0001385168,0.0003406521,0.007454462],"genre_scores_gemma":[0.9810314,0.0007716665,0.01547612,0.00001179833,0.00001306383,0.0000319717,0.0000857565,0.00003329334,0.002544884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003844762,"threshold_uncertainty_score":0.007644773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003813110632067,"score_gpt":0.1798426286758222,"score_spread":0.1698044975695015,"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."}}