{"id":"W4416390403","doi":"10.3390/jmmp9110379","title":"Microstructure, Processability, and Strength of SiC-Reinforced AlSi9Mg Composite After Laser Surface Remelting and Post-Heat Treatment","year":2025,"lang":"en","type":"article","venue":"Journal of Manufacturing and Materials Processing","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rio Tinto (Canada); Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Centre québécois de recherche et de développement de l’aluminium","keywords":"Indentation hardness; Composite number; Laser; Precipitation; Yield (engineering); Fusion; Microstructure","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002766691,0.000323662,0.0006381193,0.0001343226,0.0001282746,0.0002829631,0.00008787309,0.0001159653,0.00002172762],"category_scores_gemma":[0.00003154817,0.0002463849,0.00003733835,0.00004382874,0.0001280645,0.0003805463,0.00008416051,0.0001079778,1.878941e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003876237,"about_ca_system_score_gemma":0.00004240304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002897122,"about_ca_topic_score_gemma":0.000004266585,"domain_scores_codex":[0.9986857,0.00004040767,0.0006834385,0.0002092933,0.0001335402,0.000247689],"domain_scores_gemma":[0.9993544,0.0000982753,0.0002301636,0.0001003199,0.0001276401,0.00008916183],"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":[0.0008019696,0.0000369452,0.0004174857,0.01027929,0.0002317447,0.00002463185,0.001661467,0.0015245,0.9492478,0.00000891336,0.00001670192,0.03574855],"study_design_scores_gemma":[0.0008063432,0.0001366477,0.01235815,0.0009488371,0.0001250766,0.00009319501,0.0001875519,0.00008120904,0.9845719,0.0002690505,0.0002065455,0.0002155348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969847,0.002276798,0.0001369708,0.0000615824,0.0002280771,0.000146349,0.0000637373,0.00004269963,0.0000591013],"genre_scores_gemma":[0.9974552,0.0007406019,0.001594109,0.00003409087,0.00009018525,0.000003506317,0.000006011071,0.00002868077,0.00004765801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03553301,"threshold_uncertainty_score":0.9999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005111587362650886,"score_gpt":0.2169440845676306,"score_spread":0.2118324972049797,"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."}}