{"id":"W2089393538","doi":"10.1115/ipc2002-27394","title":"Effective Use of an Alliance to Deliver Pipeline Maintenance Services","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Diverse Research and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Pipeline (software); Process (computing); Service (business); Payment; Process management; Computer science; Business; Work (physics); Task (project management); Pipeline transport; Engineering management; Operations management; Risk analysis (engineering); Marketing; Systems engineering; Engineering; Finance","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":[0.005674001,0.0005145013,0.0002517176,0.001158407,0.00266488,0.006618609,0.002599856,0.001988723,0.01678664],"category_scores_gemma":[0.009703989,0.0006783734,0.0006178204,0.001101812,0.001987202,0.01103467,0.006773741,0.002942908,0.004384732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005104325,"about_ca_system_score_gemma":0.009068071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01270652,"about_ca_topic_score_gemma":0.01733593,"domain_scores_codex":[0.9951435,0.001694839,0.0002593219,0.0005352489,0.001724432,0.0006426605],"domain_scores_gemma":[0.9938464,0.00123966,0.0005694554,0.001426083,0.001525125,0.001393263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003381597,0.002855309,0.02133301,0.000345661,0.00007838682,0.001728125,0.01105786,0.09083754,0.009614596,0.4785161,0.04494094,0.3383543],"study_design_scores_gemma":[0.0004907594,0.00231378,0.007057331,0.0005058261,0.0001112198,0.001324602,0.01150878,0.3060379,0.008242019,0.0837138,0.5783991,0.000294814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2249979,0.0002294448,0.4116678,0.008693587,0.0002615494,0.001982088,0.0003142349,0.005194641,0.3466588],"genre_scores_gemma":[0.7150848,0.0002503541,0.2052545,0.0007973642,0.00003320673,0.0007511034,0.0005099504,0.0006548004,0.07666393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01678664,"threshold_uncertainty_score":0.05615687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04629540979346672,"score_gpt":0.2879884862814486,"score_spread":0.2416930764879819,"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."}}