{"id":"W4312568726","doi":"10.1115/ipc2022-87081","title":"Stress-Relief Excavation for Pipeline Geohazard Mitigation","year":2022,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Excavation; Geotechnical engineering; Stress relief; Pipeline transport; Geology; Landslide; Ground subsidence; Stress (linguistics); Geohazard; Bending; Pipeline (software); Subsidence; Strain gauge; Structural engineering; Engineering; Mining engineering; Materials science; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004554954,0.0002909004,0.0002594806,0.0005648779,0.0004421978,0.0003376933,0.0005952806,0.0003763596,0.001541527],"category_scores_gemma":[0.001599602,0.0001988237,0.0002383105,0.0003292625,0.000302874,0.0004643569,0.0008460137,0.0002317386,0.0002201181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109321,"about_ca_system_score_gemma":0.0005066842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001603822,"about_ca_topic_score_gemma":0.004977162,"domain_scores_codex":[0.9996099,0.00007597511,0.00001955919,0.00004276356,0.0001751063,0.00007682986],"domain_scores_gemma":[0.9991975,0.0002098621,0.000235562,0.000151884,0.0001518989,0.0000532179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001412638,0.0005733217,0.06891235,0.0006056618,0.00006257149,0.002233568,0.00123799,0.1777378,0.2837341,0.001764651,0.001652037,0.4600733],"study_design_scores_gemma":[0.0001829564,0.007018923,0.2572744,0.000126078,0.0001027749,0.002652925,0.002447421,0.5039805,0.2152611,0.002028075,0.008817213,0.0001075424],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9275283,0.0001258875,0.06910051,0.0001248356,0.00001383281,0.0001123101,0.00004872042,0.0004024281,0.002543143],"genre_scores_gemma":[0.9891317,0.00002376797,0.01042978,0.000005926752,0.000002520328,0.0000090827,0.00001822183,0.000004747478,0.0003742225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001603822,"threshold_uncertainty_score":0.005156934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00747402237169262,"score_gpt":0.2099346782292525,"score_spread":0.2024606558575598,"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."}}