{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000211587,0.0001637133,0.000194923,0.0001065021,0.00007977813,0.0000680939,0.0001802795,0.00006882602,0.00003139193],"category_scores_gemma":[0.0001105113,0.0001366566,0.00004279857,0.0001006348,0.0001607794,0.0001788526,0.0000555664,0.0001661167,0.00000246572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005323284,"about_ca_system_score_gemma":0.00004224022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000331274,"about_ca_topic_score_gemma":0.0003214949,"domain_scores_codex":[0.9991081,0.00001927732,0.0002885694,0.0001967054,0.000227308,0.000160004],"domain_scores_gemma":[0.9994134,0.0000696586,0.00007784837,0.0001425156,0.0002529199,0.00004364656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003154538,0.0001248148,0.125004,0.0004896651,0.0003908052,0.00001361046,0.001792906,0.01220319,0.01019669,0.7674305,0.002747098,0.07929127],"study_design_scores_gemma":[0.005184853,0.0006428275,0.3254227,0.002854068,0.0002040027,0.0002187386,0.000511487,0.0680962,0.01241885,0.5771923,0.005708648,0.001545304],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9304421,0.001844114,0.06213626,0.0003410768,0.0003748898,0.0001924763,0.00012476,0.000252427,0.004291877],"genre_scores_gemma":[0.9751031,0.0006271527,0.02403618,0.00002905494,0.0001142127,0.00001364096,0.00002501159,0.00001842101,0.00003324039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2004188,"threshold_uncertainty_score":0.5572693,"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."}}