{"id":"W4360796859","doi":"10.1016/j.cemconres.2023.107158","title":"Modeling the dependence of capillary sorptivity on initial water content for cement-based materials in view of water sensitivity","year":2023,"lang":"en","type":"article","venue":"Cement and Concrete Research","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National University's Basic Research Foundation of China; Fundamental Research Funds for the Central Universities; Concordia University; National Natural Science Foundation of China","keywords":"Sorptivity; Capillary action; Materials science; Tortuosity; Wetting; Water content; Hydraulic conductivity; Water retention curve; Permeability (electromagnetism); Geotechnical engineering; Infiltration (HVAC); Composite material; Durability; Soil science; Chemistry; Environmental science; Geology; Soil water; Porosity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002114343,0.0004443431,0.0003541312,0.0002795444,0.0001983897,0.000507955,0.000743048,0.001118584,0.001451285],"category_scores_gemma":[0.0009713225,0.0004011836,0.0005563004,0.0002677068,0.0003440114,0.0008438677,0.0002608698,0.0005339039,0.0002969622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008276028,"about_ca_system_score_gemma":0.0008317909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0273287,"about_ca_topic_score_gemma":0.01754962,"domain_scores_codex":[0.9999241,0.00001039948,0.000003141463,0.00002196686,0.00001826285,0.00002228248],"domain_scores_gemma":[0.9997444,0.0001563798,0.00002446817,0.00001311431,0.00004648737,0.00001520127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002275852,0.00003649963,0.0008157003,0.00005435925,0.000008155485,0.0001108348,0.00002874862,0.9688303,0.02397376,0.003382803,0.000127334,0.002608739],"study_design_scores_gemma":[0.000001239004,0.000003584592,0.0001501411,0.00000127035,0.000001796039,0.000005542398,0.000003360855,0.9978388,0.001684637,0.0002317607,0.00007547684,0.000002444144],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7889552,0.00103246,0.1822873,0.0005779993,0.00006411842,0.0001214334,0.0005320266,0.0003478017,0.02608171],"genre_scores_gemma":[0.9899338,0.0003844691,0.00484104,0.00003513267,0.000008609863,0.00003614814,0.00008188919,0.00004549716,0.004633378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0273287,"threshold_uncertainty_score":0.05433923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1551321566239077,"score_gpt":0.3438967698088252,"score_spread":0.1887646131849175,"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."}}