{"id":"W4405316030","doi":"10.1016/j.engfracmech.2024.110741","title":"Surgical face masks as reinforcement to improve the tensile mode fracture toughness of reinforced concrete under three-point bending tests","year":2024,"lang":"en","type":"article","venue":"Engineering Fracture Mechanics","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Reinforcement; Materials science; Fracture toughness; Bending; Composite material; Ultimate tensile strength; Structural engineering; Three point flexural test; Fracture (geology); Point (geometry); Mode (computer interface); Engineering; Computer science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003534942,0.0005334683,0.0004765196,0.0002028248,0.000102717,0.0001388485,0.0004307322,0.0003606191,0.00008890585],"category_scores_gemma":[0.00008136949,0.0004129339,0.0002279214,0.0003987553,0.000006146822,0.0002205463,0.0001603173,0.0009301863,0.00003431648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002144753,"about_ca_system_score_gemma":0.00005715012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005836114,"about_ca_topic_score_gemma":0.000004929741,"domain_scores_codex":[0.9978023,0.000011214,0.0005910616,0.0004288008,0.0005159532,0.0006506344],"domain_scores_gemma":[0.9987255,0.0002306727,0.00005911299,0.0006619081,0.00009417845,0.000228682],"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":[0.0000130876,9.916067e-7,5.836352e-8,0.0002108478,0.0001470152,0.0000313137,0.0006523472,0.9097108,0.06334755,0.02513945,0.0003324048,0.0004141802],"study_design_scores_gemma":[0.0002020552,0.00008903124,6.41543e-7,0.0002963886,0.00007103474,0.00003944925,0.0001274434,0.8609451,0.1209424,0.0006854064,0.01616526,0.0004357815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02317738,0.001328136,0.9713731,0.0005512597,0.001933299,0.0006672285,0.00002593869,0.0007343816,0.000209271],"genre_scores_gemma":[0.9966878,0.00009262507,0.002014004,0.0003341698,0.000383202,0.00007523024,0.00003386452,0.0001778077,0.0002012891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9735104,"threshold_uncertainty_score":0.9998323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007647819026713966,"score_gpt":0.2285396559810181,"score_spread":0.2208918369543041,"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."}}