{"id":"W4396603469","doi":"10.1007/978-3-031-59419-9_66","title":"Case Study: LMDC’s Alkali Silica Reaction Prognosis Approach Applied to an Hydroelectric Dam","year":2024,"lang":"en","type":"book-chapter","venue":"Rilem bookseries","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; Université Laval; EXP (Canada)","funders":"","keywords":"Alkali–silica reaction; Hydroelectricity; Alkali metal; Environmental science; Geology; Engineering; Chemistry; Oceanography; Electrical engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002572975,0.0006041324,0.0006044439,0.0004874043,0.0001566698,0.0003587406,0.0002689134,0.0002904698,0.0002834333],"category_scores_gemma":[0.000004382223,0.0006085937,0.0001164643,0.0001180291,0.0000475081,0.0001614718,0.0001744542,0.0004890689,0.000437758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002370678,"about_ca_system_score_gemma":0.00005979034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00015311,"about_ca_topic_score_gemma":0.0002145523,"domain_scores_codex":[0.9977267,0.00001879085,0.0004870003,0.0007407967,0.0005062644,0.0005204521],"domain_scores_gemma":[0.9989514,0.00002962219,0.0000493704,0.0006633371,0.00006043943,0.0002458229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001847469,0.0009147151,0.00006437815,0.01427059,0.00978192,0.02384479,0.03987794,0.003143768,0.3789409,0.1810258,0.05221642,0.2940713],"study_design_scores_gemma":[0.0008483955,0.002535036,0.00001203842,0.0002463249,0.001021459,0.001736551,0.003038263,0.00324097,0.01607509,0.002965349,0.9649318,0.003348679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1619029,0.0004471789,0.00007466555,0.00002515132,0.0005548166,0.003917575,0.0001294032,0.001778521,0.8311698],"genre_scores_gemma":[0.8591416,0.000135933,0.0001428969,0.00002562925,0.0007651619,0.001171665,0.0001992961,0.0003427409,0.1380751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9127154,"threshold_uncertainty_score":0.9996365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278606476130568,"score_gpt":0.2553446554447738,"score_spread":0.2225585906834681,"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."}}