{"id":"W1970892847","doi":"10.1115/ipc2002-27293","title":"Technology Approaches for Northern Pipeline Developments","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Reliability (semiconductor); Pipeline (software); Pipeline transport; Work (physics); Computer science; Settlement (finance); Construction engineering; Systems engineering; Risk analysis (engineering); Engineering; 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":[0.0000582681,0.0001762184,0.0001655876,0.0002378254,0.00004686504,0.00004843003,0.0002183648,0.0001309672,0.00006995212],"category_scores_gemma":[0.00007076237,0.000160924,0.00003187128,0.0001089255,0.00006259448,0.00007727109,0.00005076391,0.000138281,0.00003005448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002490486,"about_ca_system_score_gemma":0.000007017309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001820547,"about_ca_topic_score_gemma":0.00002255725,"domain_scores_codex":[0.9992362,0.000002384901,0.0002330437,0.0002021452,0.0001083548,0.0002178746],"domain_scores_gemma":[0.9996747,0.00002712845,0.00002839039,0.0001244991,0.0001028704,0.00004240147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001631954,0.0001338129,0.01006751,0.0001223891,0.0001902003,0.00001251385,0.0003313386,0.007396195,0.0004354916,0.03966404,0.02089266,0.9207375],"study_design_scores_gemma":[0.0005217435,0.00002861916,0.0002875466,0.0000438734,0.0000127594,0.00001991333,0.0001115852,0.7191081,0.001608761,0.002295084,0.2756709,0.0002911732],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3148065,0.003479548,0.5915062,0.007807787,0.003211224,0.0009649978,0.0002128183,0.004517329,0.07349362],"genre_scores_gemma":[0.9922357,0.0002340848,0.004411285,0.00002277129,0.0001323501,0.00009431095,0.00004270774,0.00002342592,0.002803427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9204463,"threshold_uncertainty_score":0.6562288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04731845847658365,"score_gpt":0.2215659515475014,"score_spread":0.1742474930709178,"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."}}