{"id":"W2600570072","doi":"10.1002/adem.201700064","title":"Effect of Severe Plastic Deformation and Subsequent Silicon Spheroidizing Treatment on the Microstructure and Mechanical Properties of an Al–Si–Mg Alloy","year":2017,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Ministry of Education, India; Deakin University","keywords":"Materials science; Alloy; Severe plastic deformation; Microstructure; Ductility (Earth science); Extrusion; Metallurgy; Silicon; Deformation (meteorology); Redistribution (election); Composite material; Creep","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":[0.0002956443,0.000212398,0.000371359,0.00002132143,0.0001397947,0.00009604956,0.0001663263,0.00007129798,0.00003413001],"category_scores_gemma":[0.0002527162,0.0001140018,0.00002509967,0.00001323484,0.00008548403,0.0002784947,0.00007960518,0.00004392537,0.00000147805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002426962,"about_ca_system_score_gemma":0.000009543411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005036563,"about_ca_topic_score_gemma":0.000005570389,"domain_scores_codex":[0.9991363,0.00006846819,0.0002858501,0.0002123223,0.0001115177,0.0001855347],"domain_scores_gemma":[0.9992945,0.00008613488,0.0001892099,0.000351072,0.00002811545,0.00005099438],"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":[0.0003586066,0.000007203399,0.000002374343,0.0002850523,0.00001177395,9.389786e-7,0.0001799338,0.0005072696,0.9976442,0.0003061993,7.994215e-7,0.0006956864],"study_design_scores_gemma":[0.0005524654,0.0008916468,0.0002519819,0.0002381398,0.00002930894,0.0000221841,0.00003010293,0.0003819835,0.9973878,0.00006015833,0.00002665939,0.0001275749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998938,0.0001711209,0.00002553127,0.00003704553,0.0003741774,0.0003779758,0.00004129851,0.00003163522,0.000003210858],"genre_scores_gemma":[0.999247,0.00006670618,0.0005847921,0.00001676597,0.00002932041,0.00002687584,0.000003810461,0.00001987443,0.000004843301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008844435,"threshold_uncertainty_score":0.4648858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009887001977377107,"score_gpt":0.2198796160911305,"score_spread":0.2099926141137534,"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."}}