{"id":"W1964118414","doi":"10.1115/ipc2004-0398","title":"Pipeline Pig Tracking Through the Internet: A New Use for Existing Technology in the Pipeline Pigging Industry","year":2004,"lang":"en","type":"article","venue":"2004 International Pipeline Conference, Volumes 1, 2, and 3","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; Petroleum Technology Alliance Canada","funders":"","keywords":"Pigging; Pipeline (software); Pipeline transport; Tracking (education); The Internet; Computer science; Engineering; Marine engineering; World Wide Web; 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":[0.002912398,0.0006242677,0.0004875717,0.002362604,0.000952233,0.003726576,0.002076967,0.001968884,0.01054697],"category_scores_gemma":[0.003093201,0.0004203079,0.0006005641,0.002315857,0.0009602124,0.00849793,0.001428704,0.001334216,0.004276807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007577296,"about_ca_system_score_gemma":0.0008502853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001646098,"about_ca_topic_score_gemma":0.001558708,"domain_scores_codex":[0.9984861,0.0004388564,0.00008132393,0.0002402587,0.0006410669,0.0001124513],"domain_scores_gemma":[0.9953799,0.001156685,0.0002422574,0.001286868,0.001584443,0.0003497941],"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":[0.0003114007,0.0005020258,0.006191968,0.0003633127,0.00004369648,0.0006885068,0.001127047,0.0006787568,0.02480643,0.01533205,0.02247792,0.9274769],"study_design_scores_gemma":[0.0001837248,0.002076462,0.01393466,0.0007993673,0.0003684147,0.00722494,0.00171009,0.03933366,0.04514424,0.02059243,0.8682378,0.0003942468],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1169178,0.01868137,0.6802894,0.02097119,0.001985276,0.0008270085,0.0007138218,0.01879189,0.1408222],"genre_scores_gemma":[0.3578875,0.02028357,0.5394377,0.003752899,0.002480865,0.0003561563,0.001366016,0.001301378,0.07313387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01054697,"threshold_uncertainty_score":0.03528309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07051926354428067,"score_gpt":0.2897964994971243,"score_spread":0.2192772359528436,"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."}}