{"id":"W2105197049","doi":"10.5006/1.3319100","title":"Effect of Field Operational Variables on Internal Pitting Corrosion of Oil and Gas Pipelines","year":2009,"lang":"en","type":"article","venue":"CORROSION","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Devon Energy (Canada)","funders":"Australian Government","keywords":"Pitting corrosion; Corrosion; Pipeline transport; Metallurgy; Materials science; Petroleum engineering; Fossil fuel; Oil field; Environmental science; Forensic engineering; Engineering; Waste management; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004896379,0.0001368137,0.0002418311,0.0000819597,0.00009433636,0.0000293177,0.0001054324,0.00008556707,0.0002802277],"category_scores_gemma":[0.0003452927,0.0001012801,0.00005520305,0.00008390495,0.00004396137,0.0001535062,0.00005576482,0.00008754187,0.000009568467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001626775,"about_ca_system_score_gemma":0.00001677289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002585221,"about_ca_topic_score_gemma":0.000001938747,"domain_scores_codex":[0.9988976,0.0001041306,0.0003632684,0.0002327908,0.0002737181,0.0001284725],"domain_scores_gemma":[0.9991356,0.0003740717,0.0001696191,0.0001627805,0.0001069242,0.00005101627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004583163,0.00007649606,0.001385666,0.00004438761,2.908461e-8,0.000001146358,0.00007662136,0.00004442889,0.9723042,0.0001602412,0.0005670565,0.02488139],"study_design_scores_gemma":[0.0006090776,0.002578739,0.0004168225,0.00048724,0.00001783352,0.00001017368,0.00001487811,0.0011182,0.9945219,0.00007909088,0.00005178379,0.00009432559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929022,0.00006887782,0.005743707,0.0001639018,0.0004881421,0.00006554998,0.00001400297,0.00002735016,0.0005262424],"genre_scores_gemma":[0.9992136,0.0000552503,0.0002705518,0.0001671638,0.00007239947,0.000004475935,0.00001531285,0.000006664769,0.000194615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02478707,"threshold_uncertainty_score":0.4130083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00921657762497788,"score_gpt":0.2683861805861658,"score_spread":0.2591696029611879,"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."}}