{"id":"W3096349752","doi":"10.1007/978-3-030-58482-5_99","title":"Controlling Strength and Ductility of Strain-Hardening Cementitious Composites by Nano-Engineering","year":2020,"lang":"en","type":"book-chapter","venue":"Rilem bookseries","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Materials science; Composite material; Cement; Ultimate tensile strength; Toughness; Strain hardening exponent; Ductility (Earth science); Flexural strength; Cracking; Composite number; Creep","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":[0.00007209116,0.0003241199,0.0001982647,0.0002139944,0.0001617935,0.000329341,0.0003094666,0.0001758319,0.004466773],"category_scores_gemma":[0.00008461474,0.0002873868,0.0001533438,0.0002073318,0.0002028074,0.0005632553,0.0002213126,0.0006253499,0.001722916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000218594,"about_ca_system_score_gemma":0.0001421789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002889296,"about_ca_topic_score_gemma":0.001360414,"domain_scores_codex":[0.9999446,0.000002183277,0.00000211974,0.00001152567,0.00003255695,0.00000708781],"domain_scores_gemma":[0.9999563,0.00001945166,0.000005791915,0.000005383188,0.000008868473,0.000004201369],"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":[0.0000178019,0.00003441248,0.00004797113,0.0001041791,0.000003298276,0.0000258529,0.00004243017,0.0008511922,0.9545488,0.003880376,0.001632344,0.03881142],"study_design_scores_gemma":[0.000004784016,0.00005250204,0.0005728393,0.00001505354,0.000008001541,0.00006680116,0.00001720405,0.003578,0.951836,0.001559755,0.04227881,0.00001015758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4442923,0.04187722,0.1275766,0.0009074332,0.0008672763,0.0001203635,0.0005197952,0.002740273,0.3810987],"genre_scores_gemma":[0.6472657,0.01441093,0.04352636,0.0004326099,0.0001521613,0.0001265372,0.0003747599,0.0009712091,0.2927397],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004466773,"threshold_uncertainty_score":0.01494282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008101194581387187,"score_gpt":0.1785817048107406,"score_spread":0.1704805102293535,"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."}}