{"id":"W3042972786","doi":"10.1590/s1983-41952020000300008","title":"Experimental and numerical characterization of the interface between concrete masonry block and mortar","year":2020,"lang":"en","type":"article","venue":"Revista IBRACON de Estruturas e Materiais","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Masonry; Mortar; Finite element method; Structural engineering; Grout; Diagonal; Interface (matter); Ultimate tensile strength; Engineering; Computer science; Geotechnical engineering; Materials science; Mathematics; Composite material; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006998602,0.0002283281,0.0002020597,0.0006750813,0.0003539969,0.0002137622,0.0003244467,0.0004925724,0.002485411],"category_scores_gemma":[0.0008572245,0.0001900293,0.0002070854,0.000329763,0.0005466273,0.0002091938,0.0003513265,0.0003718178,0.0003064198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001773882,"about_ca_system_score_gemma":0.0001524799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009463865,"about_ca_topic_score_gemma":0.001368405,"domain_scores_codex":[0.9996148,0.00003749016,0.00003147041,0.00005437605,0.0001802394,0.00008153833],"domain_scores_gemma":[0.9991866,0.000275677,0.0001062227,0.0001221033,0.0002506941,0.0000586687],"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":[0.0001581579,0.0001874536,0.002151974,0.0000594534,0.000004847234,0.00008949773,0.0001732016,0.00272227,0.9913652,0.0003029491,0.00004697243,0.002738066],"study_design_scores_gemma":[0.00002286684,0.001633517,0.02111492,0.00001864373,0.00002251726,0.000143014,0.0003126932,0.0232747,0.9523274,0.0001358498,0.0009785591,0.00001552624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944694,0.0001043822,0.003851057,0.000007559792,0.00001144033,0.00002504413,0.00007602322,0.00003743184,0.001417659],"genre_scores_gemma":[0.9964352,0.00005509211,0.002450352,0.000005737801,0.00000260957,0.00001979354,0.00008529928,0.00000696671,0.0009389622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002485411,"threshold_uncertainty_score":0.00831455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007833156050514697,"score_gpt":0.2149767010292408,"score_spread":0.2071435449787261,"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."}}