{"id":"W2947351950","doi":"10.1016/j.msea.2019.05.072","title":"On the stability, microstructure, and mechanical property of powder metallurgy Al–SiC nanocomposites during similar and dissimilar laser welding","year":2019,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Nanocomposite; Composite material; Alloy; Microstructure; Welding; Void (composites); Porosity; Powder metallurgy; Laser beam welding; Metallurgy","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":[0.0001758369,0.0001260666,0.0001456023,0.0002683731,0.0002333364,0.0002384885,0.0001614005,0.0002037074,0.001260036],"category_scores_gemma":[0.0003619966,0.0001452426,0.0001870734,0.0001875025,0.000283691,0.0002492929,0.0001413553,0.0002715025,0.0001447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002433338,"about_ca_system_score_gemma":0.000108522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001489483,"about_ca_topic_score_gemma":0.003021445,"domain_scores_codex":[0.9998243,0.00001240533,0.0000112146,0.00005070424,0.00006993423,0.00003138223],"domain_scores_gemma":[0.9997804,0.00004253716,0.00005602282,0.00002058309,0.00007840617,0.00002211052],"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":[0.0002080663,0.00001599586,0.000863459,0.00002937651,0.000007271341,0.0000506071,0.00006426284,0.0002198838,0.9969433,0.00005209825,0.00003615451,0.001509535],"study_design_scores_gemma":[0.000006777193,0.0001986164,0.02115527,0.000003467769,0.00001906007,0.00007958402,0.00009768615,0.002593117,0.9752895,0.00002608973,0.0005209506,0.000009889407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990364,0.0001433691,0.0003095739,0.000008695804,0.000006133856,0.000003356617,0.00004495586,0.00001113608,0.0004362679],"genre_scores_gemma":[0.9993575,0.00003403403,0.0001341587,0.000004906738,0.000001682294,0.000002897304,0.00003756901,0.000004881124,0.0004224253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001489483,"threshold_uncertainty_score":0.00421524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006234739563858234,"score_gpt":0.1949370816185509,"score_spread":0.1887023420546927,"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."}}