{"id":"W4405362418","doi":"10.1115/ipc2024-121381","title":"Uplift Mitigation Strategies for Pipeline Overbends","year":2024,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"","keywords":"Pipeline (software); Computer science; Geology; Programming language","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":[0.0005526943,0.0007546361,0.0004235733,0.0008465585,0.0004492377,0.0005072329,0.0008760564,0.0004433497,0.00294878],"category_scores_gemma":[0.0007344501,0.0002509955,0.000363946,0.0003006525,0.0003540282,0.0007879392,0.0007124467,0.0004762044,0.0005143321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005039035,"about_ca_system_score_gemma":0.0005324358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151158,"about_ca_topic_score_gemma":0.004608701,"domain_scores_codex":[0.9995729,0.00004086884,0.00002344113,0.00005006744,0.0001904908,0.0001220749],"domain_scores_gemma":[0.9993748,0.0000771609,0.0001866632,0.00005953759,0.0002428268,0.00005905157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006414938,0.000277544,0.007264261,0.0008770012,0.00004276554,0.001446319,0.000513315,0.02740012,0.8457781,0.001146802,0.002005188,0.1126072],"study_design_scores_gemma":[0.0001059154,0.004518543,0.02860202,0.0002151395,0.00017111,0.001127673,0.001361706,0.04927023,0.8825312,0.001169862,0.0308107,0.0001159662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9460976,0.0009696023,0.04681118,0.0002152658,0.0001079898,0.0002402764,0.0001647345,0.0009957268,0.004397614],"genre_scores_gemma":[0.9896072,0.0002500457,0.007684323,0.00005507971,0.00001155211,0.00004554812,0.00009396729,0.00003202602,0.002220359],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00294878,"threshold_uncertainty_score":0.009864688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006310647974681582,"score_gpt":0.2230403510355645,"score_spread":0.2167297030608829,"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."}}