{"id":"W4404660196","doi":"10.1016/j.conbuildmat.2024.139244","title":"Assessment of the efficiency of distinct surface treatments to mitigate ASR-induced development","year":2024,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kryton International (Canada); University of Ottawa","funders":"H2020 Marie Skłodowska-Curie Actions; Horizon 2020; Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme","keywords":"Materials science; Surface (topology); Composite material; Mathematics; Geometry","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":[0.0006589901,0.0006342827,0.0003633068,0.0006968055,0.0002128758,0.0003206741,0.0002591926,0.0005115896,0.0008681841],"category_scores_gemma":[0.0007580608,0.0001515099,0.0003895567,0.0003327035,0.0002258649,0.00035561,0.0002524133,0.0004568273,0.0002260665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001745052,"about_ca_system_score_gemma":0.0001951414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006448381,"about_ca_topic_score_gemma":0.001280849,"domain_scores_codex":[0.9994934,0.000078197,0.00004500401,0.00007304948,0.0002481735,0.00006211104],"domain_scores_gemma":[0.9993274,0.0001449264,0.0001544565,0.00006737788,0.0002618254,0.0000439783],"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":[0.00009093262,0.00005192507,0.0005230311,0.0001451393,0.00001461769,0.00001899207,0.00003595849,0.0002391858,0.9925412,0.00002962026,0.00002592682,0.0062833],"study_design_scores_gemma":[0.000003861483,0.001185068,0.003963107,0.000008849751,0.00003659437,0.0000362592,0.0000427489,0.0006947412,0.9930483,0.00001569891,0.0009568657,0.000007755843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889544,0.002648496,0.005854481,0.00003367848,0.00003482402,0.0001358604,0.0002073013,0.00007921561,0.002051743],"genre_scores_gemma":[0.9807813,0.002203165,0.01393637,0.00003393774,0.00001186776,0.00009966481,0.0002837424,0.00005008365,0.002599814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008681841,"threshold_uncertainty_score":0.003485084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125985798020429,"score_gpt":0.3046001442671838,"score_spread":0.2833402862869795,"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."}}