{"id":"W3022284621","doi":"","title":"Pipe Walking for Onshore Pipelines","year":2019,"lang":"en","type":"article","venue":"The 29th International Ocean and Polar Engineering Conference","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Pipeline transport; Pipeline (software); Marine engineering; Geology; Forensic engineering; Engineering; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001239534,0.0001679543,0.0001341102,0.0001015048,0.00003147311,0.00007832904,0.0003167727,0.00006936712,0.00003218612],"category_scores_gemma":[0.00006820705,0.0001341091,0.00004546457,0.00006877872,0.00002090578,0.0000989462,0.00004773867,0.0001953265,0.0000189395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002485697,"about_ca_system_score_gemma":0.000008271825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003489964,"about_ca_topic_score_gemma":0.000001007738,"domain_scores_codex":[0.9993974,0.000003145003,0.0001507397,0.0001368042,0.0001090655,0.000202864],"domain_scores_gemma":[0.9995885,0.0001263781,0.00001718317,0.0001791911,0.00005231162,0.0000364169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009161774,0.00007078913,0.016394,0.001339548,0.001187803,0.00001302456,0.002776856,0.3784783,0.07041015,0.445198,0.01052596,0.07351388],"study_design_scores_gemma":[0.0003675305,0.00004338345,0.002986554,0.0001386549,0.00001902866,0.00002792914,0.0001185893,0.8930226,0.006260507,0.0007343345,0.09590373,0.0003771717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8862837,0.001397803,0.1031114,0.000951509,0.003324281,0.0004221745,0.00009885652,0.001750328,0.002659907],"genre_scores_gemma":[0.9973797,0.0001477404,0.001774252,0.00002436909,0.0001559373,0.000007796654,0.00001850525,0.00003322949,0.0004584265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5145442,"threshold_uncertainty_score":0.5468811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007899993628205077,"score_gpt":0.197375321670654,"score_spread":0.1894753280424489,"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."}}