{"id":"W1994026456","doi":"10.1016/j.powtec.2014.04.081","title":"Preparation and surface modification of submicron YAl2 particles by mixed milling with magnesium for fabricating YAl2p/MgLiAl composites","year":2014,"lang":"en","type":"article","venue":"Powder Technology","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Surface modification; Magnesium; Materials science; Composite material; Metallurgy; Chemical engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110665,0.0001406033,0.0002011648,0.00007608529,0.00007407704,0.00001963191,0.000127027,0.0001207755,8.04239e-7],"category_scores_gemma":[0.00002935739,0.0001309788,0.00001658413,0.0001445893,0.0001673533,0.00009826461,0.00003036477,0.00007802084,0.000002190071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002948517,"about_ca_system_score_gemma":0.000006469749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001782643,"about_ca_topic_score_gemma":0.00001210901,"domain_scores_codex":[0.9992553,0.00001991939,0.000235762,0.0002094557,0.00006930224,0.0002102893],"domain_scores_gemma":[0.9995116,0.00008059432,0.00007886198,0.0002216483,0.00008345873,0.00002381778],"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":[0.00003988778,0.00002045708,0.005990591,0.0001431655,0.00001998264,6.366081e-8,0.0001800815,0.005980229,0.9845142,0.0008521789,0.00008371428,0.002175469],"study_design_scores_gemma":[0.0003460068,0.0002234525,0.0002344867,0.00001275313,0.00003144663,0.000005475879,0.00007869056,0.1912668,0.8069861,0.0004396549,0.0002332841,0.0001418981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259712,0.0009491101,0.07206994,0.000247482,0.00003614326,0.0003033629,0.0000100879,0.00036473,0.0000479613],"genre_scores_gemma":[0.9748751,0.00001050224,0.02496346,0.000006366064,0.00001354436,0.00005360981,0.0000259686,0.00003247787,0.00001898994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1852865,"threshold_uncertainty_score":0.5341159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007668325962111825,"score_gpt":0.2085175205850678,"score_spread":0.200849194622956,"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."}}