{"id":"W1968033407","doi":"10.1115/ipc2008-64472","title":"Further Large-Scale Implementation of Advanced Pipeline Technologies","year":2008,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Pipeline (software); Software deployment; Pipeline transport; Computer science; Systems engineering; Scale (ratio); Process (computing); Manufacturing engineering; Engineering; Software engineering; Operating system; 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":[0.002255992,0.000549464,0.0002737274,0.0007691167,0.0007611908,0.0009700808,0.001349026,0.0006525447,0.007714131],"category_scores_gemma":[0.001807315,0.0002083828,0.0006714992,0.0008390521,0.000491422,0.001264378,0.001388036,0.001066219,0.002118176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024937,"about_ca_system_score_gemma":0.002706322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006875695,"about_ca_topic_score_gemma":0.008172772,"domain_scores_codex":[0.9987792,0.0002858546,0.00006997488,0.0001865137,0.0004848778,0.0001935034],"domain_scores_gemma":[0.9984909,0.0001647786,0.00008318678,0.0004242754,0.0006903799,0.0001464241],"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":[0.000310681,0.002360017,0.007164118,0.0007879674,0.00005104944,0.001009884,0.001124017,0.007459506,0.363943,0.00983494,0.01068207,0.5952728],"study_design_scores_gemma":[0.0006671157,0.01181262,0.08684775,0.0003396263,0.000170501,0.003254469,0.002198196,0.01924877,0.2883048,0.006380185,0.5805687,0.0002072301],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.556206,0.00238575,0.2938984,0.003660627,0.0006174352,0.003905143,0.001111943,0.004089832,0.1341249],"genre_scores_gemma":[0.754181,0.001742691,0.2105742,0.000346064,0.00008919714,0.0006422145,0.002557609,0.0003137686,0.02955326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007714131,"threshold_uncertainty_score":0.02580631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005477267636642677,"score_gpt":0.2220089300774608,"score_spread":0.2165316624408181,"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."}}