{"id":"W2012226225","doi":"10.1139/cjce-2013-0217","title":"Falling weight deflectometer analysis of flexible pavement structure built with geotextile drainage layers","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Université Laval","keywords":"Geotextile; Falling weight deflectometer; Drainage; Geotechnical engineering; Falling (accident); Geosynthetics; Environmental science; Engineering; Subgrade","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001022647,0.0003279615,0.0001817878,0.000903511,0.0001362253,0.0002596487,0.0003066094,0.0003524447,0.0007992435],"category_scores_gemma":[0.0002474909,0.0001209369,0.0002434983,0.0004246919,0.0002380412,0.0002383405,0.0001909974,0.0001710555,0.0002071056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001454767,"about_ca_system_score_gemma":0.00007746509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002840895,"about_ca_topic_score_gemma":0.00376808,"domain_scores_codex":[0.9998854,0.000009215385,0.000005848897,0.00002654536,0.00005204998,0.00002083905],"domain_scores_gemma":[0.999832,0.00003545914,0.00003074826,0.00002106974,0.00006212563,0.00001860806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006569875,0.0002380901,0.1222149,0.0001235174,0.0000761458,0.0006961937,0.0005098553,0.04781529,0.7597782,0.00042224,0.0004183901,0.06705007],"study_design_scores_gemma":[0.00002094292,0.0008347258,0.5679997,0.00001496041,0.00005960253,0.0003543973,0.0006301386,0.3005495,0.1283596,0.0002387856,0.0008669012,0.00007078354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997054,0.00002119504,0.002447178,0.000004703426,0.000003273241,0.00000290746,0.0000673356,0.00003081227,0.000368466],"genre_scores_gemma":[0.9991108,0.00001485722,0.0006013837,0.000002427819,6.364756e-7,0.000001369708,0.00007712381,0.000002727037,0.0001886499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002840895,"threshold_uncertainty_score":0.005648673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004825905122128271,"score_gpt":0.1782861696282401,"score_spread":0.1734602645061119,"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."}}