{"id":"W7116802194","doi":"10.1016/j.matdes.2025.115256","title":"Freeze-thaw-induced microstructural damage in polyester fiber-reinforced cementitious composites revealed by X-ray microtomography","year":2025,"lang":"en","type":"article","venue":"Materials & Design","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health; Ontario Centre of Excellence for Child and Youth Mental Health; Opal-Rt Technologies (Canada); University of Alberta; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Cracking; Porosity; Composite number; Ultimate tensile strength; Volume fraction; Cementitious; Stress (linguistics); Polyester; Microstructure","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001883849,0.0002335532,0.0001468197,0.0002457429,0.0001916055,0.0001858033,0.0001504889,0.00023074,0.0009812447],"category_scores_gemma":[0.0002262598,0.0002073966,0.0001729907,0.0001070206,0.0004063518,0.0002556515,0.0001948085,0.0004252422,0.0001285137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002211012,"about_ca_system_score_gemma":0.0001511994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001402363,"about_ca_topic_score_gemma":0.003034358,"domain_scores_codex":[0.9999164,0.000004142376,0.00000394561,0.00002376754,0.00003414274,0.00001761869],"domain_scores_gemma":[0.9998322,0.00003477243,0.00003942549,0.00002433812,0.00004596725,0.00002321629],"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":[0.00003028301,0.000007277278,0.0007517965,0.00002172116,0.000003128659,0.00005812777,0.00004708781,0.0005240335,0.9973084,0.00002691873,0.0000216393,0.001199596],"study_design_scores_gemma":[0.000003869305,0.0001505045,0.03794721,0.00001042928,0.00001575704,0.0002107818,0.00009338188,0.007312248,0.9534801,0.00006473033,0.0007001564,0.00001075804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940208,0.0002919948,0.004799663,0.00001811323,0.000008961059,0.00001579877,0.0001471747,0.0001244523,0.0005729046],"genre_scores_gemma":[0.9960628,0.0001394799,0.002887774,0.00002078571,0.000002797384,0.00001902089,0.0001197493,0.00003701603,0.000710392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001402363,"threshold_uncertainty_score":0.003282607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006572980241930195,"score_gpt":0.2121388971166145,"score_spread":0.2055659168746843,"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."}}