{"id":"W2052662713","doi":"10.1139/l08-067","title":"Deicing salt scaling resistance of concrete incorporating supplementary cementing materials: laboratory and field test data","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Sherbrooke; University of Toronto; Natural Resources Canada","funders":"Public Works and Government Services Canada; Government of Canada; Université Laval; U.S. Department of Transportation","keywords":"Laboratory test; Curing (chemistry); Geotechnical engineering; Scaling; Salt lake; Environmental science; Forensic engineering; Materials science; Engineering; Composite material; Geology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006842559,0.0001541741,0.0003147397,0.0002847852,0.0000982975,0.00006049489,0.0003246284,0.00005574066,0.0002731099],"category_scores_gemma":[0.0003381335,0.0001729825,0.00002235986,0.0001890879,0.00003904069,0.0003165088,0.00005944864,0.0001878534,6.368152e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007808964,"about_ca_system_score_gemma":0.0002558662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007693754,"about_ca_topic_score_gemma":0.01012142,"domain_scores_codex":[0.9986827,0.00002272774,0.0006227663,0.0001253244,0.0001980895,0.0003483294],"domain_scores_gemma":[0.9990366,0.0001944505,0.0001333803,0.0002461054,0.0001146442,0.0002747867],"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":[0.00001316769,0.000001160363,0.006538047,0.0007251819,0.000110695,0.0002961741,0.000508907,0.002958092,0.9857661,0.00005746332,0.00291224,0.0001128164],"study_design_scores_gemma":[0.001519098,0.0001842333,0.002132994,0.002268775,0.0001052533,0.0002164128,0.0006089627,0.01881142,0.9597118,0.00002799075,0.01360776,0.0008052515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956327,0.001750479,0.001592142,0.00005860265,0.0003979708,0.00009088572,0.0002743033,0.00001785051,0.000185053],"genre_scores_gemma":[0.9979547,0.0001909385,0.001520096,0.00002377509,0.0002387648,0.0000016199,0.0000266664,0.00003678982,0.000006618872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02605421,"threshold_uncertainty_score":0.705402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770899256831308,"score_gpt":0.2184143882911428,"score_spread":0.2007053957228298,"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."}}