{"id":"W2311909620","doi":"10.1016/j.jallcom.2016.03.196","title":"Microstructure and corrosion model of MAO coating on nano grained AA2024 pretreated by ultrasonic cold forging technology","year":2016,"lang":"en","type":"article","venue":"Journal of Alloys and Compounds","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Qinghai Provincial Department of Science and Technology; National Natural Science Foundation of China; Beijing Municipal Natural Science Foundation; Ukrainian Canadian Foundation of Taras Shevchenko","keywords":"Materials science; Microstructure; Scanning electron microscope; Coating; Dielectric spectroscopy; Surface roughness; Alloy; Transmission electron microscopy; Metallurgy; Corrosion; Composite material; Grain size; Electrochemistry; Electrode; Nanotechnology; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006394709,0.0001764653,0.0001465834,0.0002233175,0.0001854921,0.0001388955,0.0003600186,0.0003475507,0.001624157],"category_scores_gemma":[0.0000841974,0.000157196,0.000278276,0.0001774798,0.0001427783,0.0001336022,0.00006235771,0.0002317461,0.0001863419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003317262,"about_ca_system_score_gemma":0.0001586908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00802577,"about_ca_topic_score_gemma":0.008887343,"domain_scores_codex":[0.9999121,0.000002735283,0.000002859657,0.00001806302,0.00004448412,0.00001970119],"domain_scores_gemma":[0.9999276,0.000006271363,0.00001792872,0.000008413182,0.00003226446,0.000007510277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001417101,0.00001810566,0.0009803978,0.0000564627,0.000008416171,0.0001436646,0.00003950357,0.001402468,0.9948679,0.0001568443,0.0001306679,0.002053899],"study_design_scores_gemma":[0.00001893882,0.0005424305,0.05622588,0.000008029288,0.00004371074,0.0002580414,0.000116062,0.03403987,0.907007,0.0001051038,0.00161449,0.0000204407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958086,0.0002499692,0.001751701,0.00002773022,0.00002376635,0.00001051384,0.0002382282,0.00008694645,0.001802662],"genre_scores_gemma":[0.9972735,0.00009458388,0.001072983,0.000005609708,0.000002620036,0.000004652825,0.0001085315,0.000007163637,0.001430378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00802577,"threshold_uncertainty_score":0.01595807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005462795007836423,"score_gpt":0.1810979559752344,"score_spread":0.175635160967398,"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."}}