{"id":"W2162575126","doi":"10.1115/ipc2004-0514","title":"Smart Pig Defect Tolerances: Quantifying the Benefits of Standard and High Resolution Pigs","year":2004,"lang":"en","type":"article","venue":"2004 International Pipeline Conference, Volumes 1, 2, and 3","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Pigging; Sizing; Reliability engineering; High resolution; Integrity management; Computer science; Pipeline transport; Engineering; Mechanical engineering; Geology","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":[0.004623038,0.0004613571,0.0004499888,0.00147442,0.0001900281,0.0007868393,0.0006823693,0.001206174,0.0007553383],"category_scores_gemma":[0.01602154,0.0004000819,0.000393972,0.0008785161,0.0008956519,0.001435464,0.0009715007,0.0005140099,0.000164574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002931643,"about_ca_system_score_gemma":0.0001338393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004085158,"about_ca_topic_score_gemma":0.0008347601,"domain_scores_codex":[0.9962183,0.0009489653,0.000209463,0.0005498368,0.001880427,0.0001929846],"domain_scores_gemma":[0.9697454,0.01764688,0.006057254,0.003760465,0.002373138,0.0004169359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00403141,0.000534587,0.4100844,0.000339471,0.0003645606,0.001068152,0.0006816285,0.07818899,0.2707027,0.001993057,0.0006016788,0.2314093],"study_design_scores_gemma":[0.00007175298,0.00955402,0.5507923,0.00006395172,0.0003658922,0.005150897,0.0006729684,0.1694804,0.2587716,0.002855345,0.002008771,0.000212114],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322974,0.0003368698,0.06565975,0.0000498461,0.0000118177,0.00002598676,0.0001081331,0.0002289878,0.001281246],"genre_scores_gemma":[0.9864724,0.00005715392,0.013054,0.00002497186,0.000005196595,0.000008299576,0.00009148346,0.00003292547,0.0002535666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004623038,"threshold_uncertainty_score":0.02444929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02689358885219185,"score_gpt":0.2545626648236475,"score_spread":0.2276690759714556,"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."}}