{"id":"W1983854561","doi":"10.4028/www.scientific.net/msf.794-796.1199","title":"The Effect of Mn on Microstructure Evolution during Homogenization of Al-Mg-Si-Mn Alloys","year":2014,"lang":"en","type":"article","venue":"Materials science forum","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microstructure; Homogenization (climate); Materials science; Electron microprobe; Metallurgy; Solvus; Scanning electron microscope; Analytical Chemistry (journal); Composite material; Chemistry; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006521659,0.0001731117,0.0002294855,0.00009902778,0.0002693949,0.00008492119,0.0004562774,0.00006597333,0.00002074433],"category_scores_gemma":[0.0001714685,0.0001123934,0.00003986462,0.0002712968,0.000493811,0.0002015866,0.0001049419,0.00005920868,0.00001064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009646656,"about_ca_system_score_gemma":0.00001992781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001666334,"about_ca_topic_score_gemma":0.0000081837,"domain_scores_codex":[0.9987314,0.00006272789,0.000319298,0.000203754,0.0003064729,0.0003763805],"domain_scores_gemma":[0.9993587,0.00004627275,0.0001191292,0.0003621056,0.00007514415,0.00003865591],"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":[0.000052409,0.000001515167,0.0005275165,0.00009795176,0.000006745075,1.21531e-7,0.00009835236,0.002717926,0.9958537,0.0002166062,0.0001062917,0.000320928],"study_design_scores_gemma":[0.0002303954,0.0001646451,0.008409653,0.00005476356,0.000009217415,0.000007135686,0.00002518617,0.0006623098,0.9898049,0.0001331247,0.0003796238,0.0001190916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978384,0.00009907779,0.0002950017,0.00005301487,0.001266436,0.0002386131,0.00004213515,0.00007442237,0.00009287802],"genre_scores_gemma":[0.9997063,0.000008707731,0.0001550694,0.00001082784,0.00004904462,0.000009818069,0.000006352936,0.00002524458,0.00002864129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007882137,"threshold_uncertainty_score":0.4583271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001974500954874166,"score_gpt":0.1785456534507495,"score_spread":0.1765711524958753,"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."}}