{"id":"W4313648114","doi":"10.1177/13694332221149492","title":"Shear resistance and structural hardening resistance models for hybrid NSC-UHPC elements","year":2023,"lang":"en","type":"article","venue":"Advances in Structural Engineering","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Structural engineering; Composite number; Hardening (computing); Shear (geology); Materials science; Diagonal; Strain hardening exponent; Ultimate tensile strength; Composite material; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003172613,0.0007287484,0.0004131075,0.0008824563,0.0001866841,0.0005246941,0.001398438,0.001348315,0.002291545],"category_scores_gemma":[0.0007012662,0.0003765891,0.00092496,0.0003380476,0.0006050034,0.0005119111,0.0004339762,0.0003853084,0.0006890246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004901556,"about_ca_system_score_gemma":0.0003605921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005879926,"about_ca_topic_score_gemma":0.004267574,"domain_scores_codex":[0.9998024,0.00003812945,0.00001038466,0.00004833331,0.00006939271,0.00003145219],"domain_scores_gemma":[0.999687,0.0001176457,0.0000834841,0.00002832851,0.00006777986,0.00001568668],"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":[0.00002983061,0.00002442311,0.0006450348,0.00002190618,0.000009095264,0.00004315902,0.00003711057,0.9866742,0.006399413,0.001715095,0.000092959,0.004307657],"study_design_scores_gemma":[0.000001948119,0.0000147168,0.0002501721,0.000002280453,0.000003693399,0.00001263144,0.000004856789,0.998667,0.0006438013,0.000263985,0.0001318131,0.000003103407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4367985,0.0004609002,0.5458759,0.0001366021,0.00003653683,0.0000995317,0.000344047,0.000873627,0.0153743],"genre_scores_gemma":[0.9796594,0.0001764101,0.01124274,0.00001421186,0.00001014296,0.00008048948,0.0001381715,0.00004302584,0.008635349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005879926,"threshold_uncertainty_score":0.01169145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009134225350441687,"score_gpt":0.2471956660728092,"score_spread":0.2380614407223675,"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."}}