{"id":"W2089367066","doi":"10.5006/1.3360912","title":"Model to Predict Internal Pitting Corrosion of Oil and Gas Pipelines","year":2010,"lang":"en","type":"article","venue":"CORROSION","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Pitting corrosion; Pipeline transport; Corrosion; Metallurgy; Materials science; Petroleum engineering; Forensic engineering; Environmental science; Engineering; 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":[0.0003808007,0.0001611134,0.0002114057,0.0001103488,0.0001392251,0.00005776976,0.0001839361,0.0001091141,0.0002300806],"category_scores_gemma":[0.000185234,0.0001326227,0.00005344705,0.0001112062,0.00008695712,0.0002290821,0.0002685455,0.0001762571,0.00005277927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001588072,"about_ca_system_score_gemma":0.00003149456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003667831,"about_ca_topic_score_gemma":0.0000515484,"domain_scores_codex":[0.9986993,0.0000278977,0.0003868525,0.0003548489,0.0003089097,0.0002222067],"domain_scores_gemma":[0.9991708,0.00004935383,0.0001442405,0.0002870748,0.0001763293,0.0001721719],"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":[0.00009777272,0.00005862909,0.002419199,0.00002547309,1.699771e-8,0.000001127856,0.0002794889,0.0001042987,0.9852416,0.00005814312,0.0009266436,0.01078763],"study_design_scores_gemma":[0.0003625462,0.0001621247,0.0003887745,0.0002275466,0.00001538663,0.000021382,0.00006284678,0.02883207,0.9693736,0.0001649388,0.0002308102,0.0001579096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565716,0.00002183079,0.04145278,0.0001504089,0.001250839,0.0000744305,0.00003720483,0.00008043878,0.0003604154],"genre_scores_gemma":[0.9955016,0.00003414815,0.003415588,0.0001196735,0.0001215618,0.00001554601,0.00001094892,0.00001978625,0.0007611165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03892998,"threshold_uncertainty_score":0.5408198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132843938924668,"score_gpt":0.2703424503653387,"score_spread":0.249014010976092,"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."}}