{"id":"W4391887961","doi":"10.1016/j.jmsy.2024.02.006","title":"Pipeline condition monitoring towards digital twin system: A case study","year":2024,"lang":"en","type":"article","venue":"Journal of Manufacturing Systems","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Research Council Canada","keywords":"Pipeline (software); Computer science; Cloud computing; Engineering; Pipeline transport; Real-time computing; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007066351,0.0002749107,0.0004714753,0.0004910164,0.00005796946,0.000719542,0.000214004,0.00009520219,0.000006100261],"category_scores_gemma":[0.00003007591,0.0002272898,0.0001709939,0.000116417,0.00001137301,0.0007235695,0.00004004919,0.0005002878,0.00002219815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004864334,"about_ca_system_score_gemma":0.00002786778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001393823,"about_ca_topic_score_gemma":0.00000278101,"domain_scores_codex":[0.998079,0.00006323539,0.0009499732,0.0001698449,0.0004881193,0.0002497969],"domain_scores_gemma":[0.9992759,0.0001269118,0.0001481615,0.0002299519,0.00007863384,0.0001404441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0001166705,0.00121403,0.01840812,0.03226504,0.004604262,0.4417081,0.01618211,0.2795942,0.002599298,0.0001790433,0.06884762,0.1342815],"study_design_scores_gemma":[0.004304523,0.002585219,0.005377897,0.02751807,0.001568783,0.420587,0.06542264,0.1552513,0.2672793,0.00009964847,0.0465727,0.003433002],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852577,0.00216693,0.005773049,0.00001369799,0.004446442,0.0004200809,0.00002460707,0.0009587329,0.0009387491],"genre_scores_gemma":[0.9978524,0.00002329926,0.00009296461,0.000001175173,0.001822482,0.00003199884,0.000001696705,0.00007810662,0.00009583581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.26468,"threshold_uncertainty_score":0.9268608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415422539893783,"score_gpt":0.2925176079550322,"score_spread":0.2783633825560943,"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."}}