{"id":"W2886608692","doi":"10.1139/cgj-2017-0223","title":"Controlled heavy-haul traffic loading as a method to remediate liquefiable soft silts","year":2018,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earthworks; Hazard; Civil engineering; Liquefaction; Sinkhole; Engineering; Software deployment; Truck; Retrofitting; Environmental science; Forensic engineering; Geotechnical engineering; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001499043,0.0005092878,0.0002128498,0.0005204242,0.0003639057,0.0004308453,0.0005287213,0.0002237737,0.0009718386],"category_scores_gemma":[0.0002243019,0.0001428722,0.0001759844,0.00023765,0.0004124048,0.000301023,0.0003286585,0.0004213841,0.0002260459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002556649,"about_ca_system_score_gemma":0.0003750751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002600015,"about_ca_topic_score_gemma":0.00715071,"domain_scores_codex":[0.9998409,0.00001407671,0.000006253881,0.00003228552,0.00005971204,0.0000468279],"domain_scores_gemma":[0.9998388,0.00001928297,0.00005915098,0.00001747939,0.00003260695,0.00003266272],"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":[0.0001783589,0.0002208599,0.0008740049,0.0001281096,0.00001086615,0.0001133811,0.0001143508,0.001276835,0.9715775,0.0001731012,0.0002106381,0.025122],"study_design_scores_gemma":[0.00002436992,0.001407198,0.003761393,0.00001300577,0.00002775525,0.00011852,0.0001522722,0.007457886,0.9838536,0.0001066383,0.003058308,0.00001900206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804421,0.0004941954,0.01679656,0.00008361263,0.00004336832,0.00009190464,0.00004872795,0.0002634063,0.001736128],"genre_scores_gemma":[0.9906653,0.0003610191,0.007107241,0.00004372751,0.00001258421,0.00002883214,0.00003766443,0.0000296959,0.001713839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002600015,"threshold_uncertainty_score":0.005169749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008201895985523277,"score_gpt":0.2288518887393471,"score_spread":0.2206499927538238,"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."}}