{"id":"W3015004685","doi":"10.1149/1945-7111/ab856d","title":"Multi-Phase-Field Model of Intergranular Corrosion Kinetics in Sensitized Metallic Materials","year":2020,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Research Grants Council, University Grants Committee","keywords":"Intergranular corrosion; Corrosion; Materials science; Grain boundary; Gibbs free energy; Metallurgy; Metal; Electrolyte; Phase (matter); Kinetics; Thermodynamics; Saturation (graph theory); Chemistry; Physical chemistry; Microstructure; Electrode; Physics","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":[0.0001184778,0.0001347727,0.0003559928,0.00001221423,0.0000138755,0.00001303449,0.0002823019,0.0001264086,0.00001331598],"category_scores_gemma":[0.0001078997,0.00009039864,0.0002633655,0.0001241302,0.00004301837,0.00005534341,0.00006595082,0.0004116914,5.206454e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008209016,"about_ca_system_score_gemma":0.00002131551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001095549,"about_ca_topic_score_gemma":5.825136e-7,"domain_scores_codex":[0.9990413,0.00002802356,0.000495525,0.00007600909,0.00017945,0.0001797077],"domain_scores_gemma":[0.9995913,0.00003351327,0.0001479767,0.00009750645,0.00007309006,0.00005663867],"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":[0.0001059831,0.00002795662,0.000008081893,0.00006421439,0.00004309596,7.768957e-7,0.000886013,0.000554285,0.9979518,0.000002652066,0.0003193469,0.00003577498],"study_design_scores_gemma":[0.0009546515,0.00008747489,0.000004953805,0.00004821259,0.00004542626,0.00001754758,0.00004298139,0.07010103,0.9284754,0.0001055894,0.00003203692,0.00008464683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501809,0.0004399442,0.04859412,0.0005791968,0.0001008443,0.00008103125,0.000003535688,0.00001633568,0.000004068645],"genre_scores_gemma":[0.9751616,0.0001050909,0.02425708,0.000370123,0.00007553337,7.412183e-7,9.007986e-7,0.00002287762,0.000006103609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06954674,"threshold_uncertainty_score":0.368635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363283841306626,"score_gpt":0.2231240035154575,"score_spread":0.2094911651023912,"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."}}