{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001711216,0.0003926288,0.0003715545,0.0002387808,0.0008667063,0.0006137064,0.0005515008,0.0005236132,0.009660002],"category_scores_gemma":[0.000642597,0.0002517056,0.0003485049,0.0002700064,0.0003216824,0.0007290645,0.001377266,0.0005223396,0.001830182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309093,"about_ca_system_score_gemma":0.0006755869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003449863,"about_ca_topic_score_gemma":0.006219256,"domain_scores_codex":[0.9998339,0.00002519825,0.000004697453,0.00003593718,0.00005678883,0.00004352772],"domain_scores_gemma":[0.9997812,0.00004104643,0.00001380109,0.00005316982,0.00006571391,0.00004516115],"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":[0.001122972,0.0002799036,0.006921734,0.0005137969,0.00005249111,0.001293961,0.001080227,0.1787355,0.1027898,0.02449546,0.03148002,0.6512341],"study_design_scores_gemma":[0.00008725313,0.001077371,0.008389772,0.0001629087,0.00005903268,0.000757367,0.001440733,0.8136968,0.03595159,0.02123058,0.1170513,0.0000952844],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2741532,0.0007361632,0.6358677,0.0009360805,0.0005501115,0.0001553365,0.0005256382,0.004048896,0.08302689],"genre_scores_gemma":[0.8999432,0.0004477588,0.06895617,0.00007422247,0.00003781189,0.00005493042,0.0005453079,0.0003344032,0.0296062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009660002,"threshold_uncertainty_score":0.03231591,"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."}}