{"id":"W2602621516","doi":"10.5006/2305","title":"FIB/SEM Study of Pitting and Intergranular Corrosion in an Al-Cu Alloy","year":2017,"lang":"en","type":"article","venue":"CORROSION","topic":"Nanoporous metals and alloys","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intergranular corrosion; Pitting corrosion; Metallurgy; Materials science; Alloy; Corrosion; Aluminium; Scanning electron microscope; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001309334,0.0001711692,0.000149602,0.0003152665,0.0002273742,0.000107584,0.0001772709,0.000260563,0.0008235485],"category_scores_gemma":[0.0001459099,0.0001536046,0.0001051727,0.0001653339,0.000127049,0.0001122898,0.00008980873,0.0001178828,0.0002024039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001429012,"about_ca_system_score_gemma":0.00008563575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001766631,"about_ca_topic_score_gemma":0.00216076,"domain_scores_codex":[0.9999349,0.000005422506,0.000004405498,0.00001108073,0.00003132315,0.00001279257],"domain_scores_gemma":[0.9998832,0.00001989574,0.00001283204,0.0000119081,0.00006262397,0.000009551779],"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":[0.0000667495,0.00001162143,0.001187352,0.00003748302,0.000005188028,0.0003174788,0.00006577464,0.0002266289,0.9945221,0.00007951487,0.00008583214,0.003394194],"study_design_scores_gemma":[0.00001648429,0.0002883361,0.07375903,0.00001523756,0.00002377975,0.001582918,0.0002156735,0.01061457,0.9100866,0.0001077418,0.003276292,0.00001336298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928598,0.000572524,0.004257706,0.00002537989,0.00001347226,0.00001733208,0.0001753712,0.0001021095,0.001976179],"genre_scores_gemma":[0.9920164,0.0001481368,0.006425952,0.00001705635,0.000003427739,0.000009966519,0.0001549411,0.00001406197,0.001209999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001766631,"threshold_uncertainty_score":0.003512681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446353753309826,"score_gpt":0.296481322407744,"score_spread":0.2720177848746457,"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."}}