{"id":"W2330568838","doi":"10.1115/ipc2014-33196","title":"Field Testing of Pipeline Trench Backfill Properties","year":2014,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada); Centre For Cold Ocean Resources Engineering","funders":"","keywords":"Trench; Stiffness; Geotechnical engineering; Pipeline (software); Soil water; Pipeline transport; Geology; Structural engineering; Materials science; Engineering; Composite material; Mechanical engineering; Soil science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006295975,0.0004238837,0.0002386784,0.0004720888,0.0005417423,0.0002410282,0.0006737457,0.0003538808,0.001765881],"category_scores_gemma":[0.000643035,0.000183318,0.000213776,0.0004621674,0.0004746334,0.0002364675,0.0002260661,0.0002683659,0.0002272103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113867,"about_ca_system_score_gemma":0.001036688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05029817,"about_ca_topic_score_gemma":0.1473099,"domain_scores_codex":[0.9996948,0.00002854501,0.00001124609,0.00004613866,0.00016109,0.00005825175],"domain_scores_gemma":[0.9991232,0.0001653502,0.00008701251,0.00005805289,0.0005080448,0.00005832803],"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":[0.001367869,0.0007524971,0.04725843,0.0002842803,0.00002816924,0.0009142918,0.001031095,0.03054914,0.8914323,0.0002094006,0.0004280148,0.02574452],"study_design_scores_gemma":[0.0001463847,0.01401633,0.2850829,0.00004216043,0.00008115049,0.0004976687,0.003250281,0.02993993,0.6627179,0.0002034821,0.003953037,0.0000687369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977824,0.0000141188,0.001206375,0.00000925389,0.000003293726,0.00004363247,0.0001463879,0.0000410833,0.000753431],"genre_scores_gemma":[0.9967868,0.0000338209,0.001626924,0.000007505761,0.000001550533,0.0000237531,0.000136409,0.000005571449,0.001377508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05029817,"threshold_uncertainty_score":0.1000108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246384048874936,"score_gpt":0.1786316362232651,"score_spread":0.1661677957345158,"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."}}