{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003136463,0.000923449,0.001073953,0.0004875335,0.0004428402,0.0007141716,0.00142628,0.001378243,0.002869619],"category_scores_gemma":[0.0009235985,0.0004709411,0.0008133677,0.0004040189,0.0003807358,0.0005850019,0.0003850585,0.0007757554,0.000665416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009402197,"about_ca_system_score_gemma":0.001308615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02230836,"about_ca_topic_score_gemma":0.01096213,"domain_scores_codex":[0.9998406,0.00002541789,0.000009205267,0.00004142056,0.0000533236,0.00003004858],"domain_scores_gemma":[0.9995982,0.0001624954,0.00004840337,0.00002461512,0.0001426955,0.0000236318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001762339,0.00001746071,0.0004684635,0.00002140451,0.000009038685,0.00003128001,0.0000110813,0.9956737,0.00157351,0.0003291366,0.0001665707,0.001680625],"study_design_scores_gemma":[0.000005308929,0.00001302893,0.0001321905,0.000001220626,0.000003726474,0.000007640426,0.000001840016,0.999096,0.0004506923,0.0001119538,0.0001739091,0.000002489576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4038604,0.0005994065,0.5634044,0.0004810303,0.000167405,0.0003046798,0.002617466,0.004198385,0.0243667],"genre_scores_gemma":[0.9522802,0.0003159248,0.03349451,0.00004391106,0.00002108256,0.0004136328,0.0009778249,0.0001390893,0.01231366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02230836,"threshold_uncertainty_score":0.044357,"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."}}