{"id":"W2041482623","doi":"10.1007/s11661-008-9587-1","title":"The Role of Excess Vacancies on Precipitation Kinetics in an Al-Mg-Sc Alloy","year":2008,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kinetics; Precipitation; Thermodynamics; Alloy; Nucleation; Materials science; Thermal diffusivity; Vacancy defect; Activation energy; Diffusion; Atmospheric temperature range; Metallurgy; Crystallography; Chemistry; Physical chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002211857,0.0001752252,0.0002414843,0.0002952956,0.0003358182,0.0006422214,0.0004383432,0.0003068516,0.001092629],"category_scores_gemma":[0.0008218387,0.0001817654,0.0001084636,0.0002030268,0.0003638458,0.0004742623,0.0001995595,0.0002036181,0.0001900159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004548496,"about_ca_system_score_gemma":0.0003538715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003012638,"about_ca_topic_score_gemma":0.003197154,"domain_scores_codex":[0.9999304,0.000008222962,0.00000572312,0.00001273205,0.00002302271,0.00001994957],"domain_scores_gemma":[0.999692,0.0001416257,0.00004726841,0.000023592,0.00006572572,0.00002971888],"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":[0.002138182,0.0001128031,0.007215957,0.0001901636,0.00002387716,0.0006275087,0.0001303012,0.0112932,0.9670575,0.003119888,0.0003126684,0.007778042],"study_design_scores_gemma":[0.00008154488,0.0002956306,0.00749257,0.000008393308,0.00003207145,0.0002748077,0.0001771964,0.1203943,0.8691195,0.001197501,0.0009003477,0.00002620847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981645,0.0003320177,0.0007329997,0.00006936345,0.00001167666,0.000003536829,0.00004169548,0.00003137555,0.0006128175],"genre_scores_gemma":[0.9995977,0.00003985653,0.0001248576,0.000004744412,0.00000281062,7.097847e-7,0.00001583661,0.000007475969,0.0002059047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003012638,"threshold_uncertainty_score":0.005990207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009899788252370138,"score_gpt":0.1992699705520143,"score_spread":0.1893701822996441,"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."}}