{"id":"W4411360398","doi":"10.1016/j.cemconcomp.2025.106194","title":"Micro-scale uniaxial compression assessment of hygro-thermo-mechanical interactions in limestone-filler cement paste at low water-to-fine ratio","year":2025,"lang":"en","type":"article","venue":"Cement and Concrete Composites","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Filler (materials); Materials science; Cement; Composite material; Compression (physics); Scale (ratio)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002020366,0.0002286082,0.0003671686,0.0002361768,0.0001111422,0.00007237113,0.0001861772,0.00005392894,0.0006204583],"category_scores_gemma":[0.000002929409,0.0001955731,0.00005838618,0.0001504604,0.00004534034,0.00009501683,0.0004322884,0.0001474719,0.00001797379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001635672,"about_ca_system_score_gemma":0.00002043684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004433854,"about_ca_topic_score_gemma":0.00003828323,"domain_scores_codex":[0.9985445,0.00008976196,0.0005094738,0.00028453,0.0002170336,0.0003547263],"domain_scores_gemma":[0.999468,0.00008183939,0.00003594802,0.0002573384,0.00006242237,0.00009448503],"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":[0.0001490718,0.00001946288,0.001792668,0.0001742467,0.00007960605,0.000003632571,0.0002330391,0.000603719,0.9953591,0.0001536547,0.000614192,0.0008176736],"study_design_scores_gemma":[0.001452728,0.0001718396,0.001835385,0.0003882296,0.0000312368,0.00000146501,0.0001020193,0.02395919,0.9675825,0.00001329754,0.004241175,0.0002209102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958244,0.0001544315,0.001293462,0.0003063591,0.0003324977,0.0007452765,0.00002441087,0.00005438422,0.001264781],"genre_scores_gemma":[0.9982376,0.0001165056,0.0005185214,0.00007753877,0.00004440467,0.0001528363,0.000143383,0.00001973007,0.0006895412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02777651,"threshold_uncertainty_score":0.7975241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186941209035673,"score_gpt":0.2774693358205389,"score_spread":0.2655999237301822,"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."}}