{"id":"W4413014537","doi":"10.1139/cjce-2025-0078","title":"Laboratory versus field performance of ASR-affected concrete: state of the art and paths moving forward using European and North American guidelines","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); State (computer science); Engineering; Computer science; Econometrics; Statistics; Mathematics; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000236722,0.0001081462,0.0002313519,0.0001391608,0.00003373135,0.00001515558,0.0001137292,0.00001722838,0.000004991526],"category_scores_gemma":[0.0004173589,0.00009534544,0.0000417243,0.0003237271,0.00006116254,0.00008855049,0.00002256679,0.0001836084,7.232081e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005178722,"about_ca_system_score_gemma":0.0001707023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001622081,"about_ca_topic_score_gemma":0.01026239,"domain_scores_codex":[0.9993132,0.00002488881,0.0003630653,0.00006566314,0.00007925956,0.0001539237],"domain_scores_gemma":[0.9993196,0.0000994029,0.0001001348,0.0001316362,0.0001929964,0.0001562003],"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":[0.000137203,0.000003273026,0.2407975,0.002027895,0.0003308842,0.00005548965,0.00164449,0.576809,0.1185632,0.0000457262,0.001845672,0.05773964],"study_design_scores_gemma":[0.001391289,0.0002932541,0.4416648,0.001345273,0.0001387276,0.00003019938,0.0002001002,0.5324489,0.01785615,0.000002487687,0.004203799,0.0004250307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967087,0.001228043,0.001394476,0.00003181217,0.0003878133,0.00005312115,0.00001693464,0.00001053013,0.000168593],"genre_scores_gemma":[0.9994292,0.0001711297,0.000328514,0.00002789259,0.00002422337,2.953171e-7,3.007883e-7,0.00001372872,0.000004688416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2008672,"threshold_uncertainty_score":0.5726652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00927709068403698,"score_gpt":0.2021266376423635,"score_spread":0.1928495469583265,"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."}}