{"id":"W131613085","doi":"10.5006/c2003-03177","title":"A New Pipeline Crevice Corrosion Model with O2 and CP","year":2003,"lang":"en","type":"article","venue":"","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Crevice corrosion; Pipeline (software); Corrosion; Metallurgy; Materials science; Engineering; Mechanical 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":[0.0002174211,0.001491565,0.0008431379,0.0007649394,0.0003242531,0.0009818438,0.001857466,0.001521083,0.001680042],"category_scores_gemma":[0.0003715588,0.0003640421,0.001259392,0.0006100851,0.0004258367,0.001179924,0.0007909618,0.001005397,0.0006742663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008933316,"about_ca_system_score_gemma":0.000596743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009746601,"about_ca_topic_score_gemma":0.003646567,"domain_scores_codex":[0.9997321,0.00004311051,0.0000142495,0.00007830322,0.00009622757,0.00003603558],"domain_scores_gemma":[0.9998479,0.00003485998,0.00002533859,0.00001259817,0.00007012642,0.000009108905],"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":[0.000155923,0.0001584012,0.001951297,0.001212687,0.0001245752,0.001031781,0.0002436364,0.8334447,0.06887548,0.04436677,0.00560924,0.04282548],"study_design_scores_gemma":[0.000008326876,0.00007859116,0.0003382247,0.00002150935,0.00002081964,0.0001231267,0.00001804854,0.983661,0.002896614,0.003285974,0.0095288,0.000018951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0961632,0.01788241,0.807155,0.00113712,0.0006374932,0.0002835412,0.001201405,0.001118842,0.07442106],"genre_scores_gemma":[0.8673571,0.01477459,0.06216398,0.0003482741,0.0003975913,0.0004129374,0.0009149961,0.0003025246,0.05332797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009746601,"threshold_uncertainty_score":0.01937973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751286258821066,"score_gpt":0.2421070981989021,"score_spread":0.2245942356106915,"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."}}