{"id":"W4396655613","doi":"10.1007/978-3-031-59349-9_27","title":"Reactive Transport Modelling of the Aggregate Degradation During ASR","year":2024,"lang":"en","type":"book-chapter","venue":"Rilem bookseries","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; Université Laval","funders":"","keywords":"Alkali–silica reaction; Dissolution; Aggregate (composite); Cementitious; Diffusion; Particle (ecology); Materials science; Chemical engineering; Precipitation; Context (archaeology); Particle size; Cement; Chemical reaction; Chemistry; Thermodynamics; Composite material; Geology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00007868531,0.0002554629,0.0002911927,0.00009484016,0.00006137176,0.00003336461,0.0001821755,0.0001592127,0.0002806002],"category_scores_gemma":[0.000001474434,0.0002057569,0.0001695362,0.00002523829,0.00008106554,0.0001085447,0.00004945053,0.0002820665,0.00004043766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008712189,"about_ca_system_score_gemma":0.00004125619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003051768,"about_ca_topic_score_gemma":0.00003394286,"domain_scores_codex":[0.9989703,0.000005190093,0.0003279734,0.000198186,0.0003064845,0.0001918529],"domain_scores_gemma":[0.9995249,0.00001805181,0.00006319579,0.0003110054,0.00004878483,0.00003409357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006653166,0.00001875317,0.00008375197,0.01862535,0.003918343,0.0002491791,0.007305739,0.1154,0.3960296,0.4512325,0.001155386,0.00531601],"study_design_scores_gemma":[0.0004492435,0.00007609904,0.00005898471,0.004438629,0.000492418,0.00002586824,0.0001277018,0.01097259,0.7555169,0.03060607,0.1960334,0.001202098],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.184462,0.002461903,0.0005495725,0.00004893406,0.001016244,0.0006750602,0.0003545694,0.00037307,0.8100587],"genre_scores_gemma":[0.5339949,0.001324269,0.00005343184,0.000003082833,0.0002007832,0.00002724374,0.000054917,0.0001365179,0.4642049],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4206264,"threshold_uncertainty_score":0.8390524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02486849783600352,"score_gpt":0.2088696172205111,"score_spread":0.1840011193845076,"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."}}