{"id":"W2006405914","doi":"10.1179/003258905x37620","title":"Experiments on the aging of Sn–Ag–Cu solder alloys","year":2005,"lang":"en","type":"article","venue":"Powder Metallurgy","topic":"Electronic Packaging and Soldering Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ostwald ripening; Materials science; Eutectic system; Lamellar structure; Alloy; Metallurgy; Soldering; Supercooling; Diffusion; Ternary operation; Phase (matter); Microstructure; Homogeneity (statistics); Particle size; Thermodynamics; Chemical engineering; Nanotechnology","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":[0.0007305037,0.0008473167,0.0007819373,0.0004966853,0.0005008588,0.0002261379,0.0003540215,0.0005718635,0.001640995],"category_scores_gemma":[0.0009195948,0.0003616782,0.0004274311,0.0004729374,0.000282633,0.000440193,0.0003065644,0.0004698206,0.0004125426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002903939,"about_ca_system_score_gemma":0.0001597505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135615,"about_ca_topic_score_gemma":0.001246323,"domain_scores_codex":[0.9996371,0.00006691012,0.00004451737,0.00008512222,0.00008804324,0.00007816664],"domain_scores_gemma":[0.9991791,0.0001741247,0.00009494308,0.0001255682,0.0003660493,0.00006026202],"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":[0.0003673413,0.00005334284,0.0006698378,0.00008616404,0.00001778684,0.0001172627,0.0001180021,0.0002607545,0.9954984,0.00004169904,0.00004675806,0.002722705],"study_design_scores_gemma":[0.00001548771,0.001811492,0.005506062,0.000009065386,0.0000565037,0.0001324875,0.00003615502,0.001745951,0.9894689,0.00003894495,0.001165795,0.00001316455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995661,0.001426698,0.001866656,0.00002815359,0.00006333466,0.00004720963,0.0001866253,0.00007493648,0.0006454217],"genre_scores_gemma":[0.9942497,0.000852262,0.002944109,0.00003616916,0.00003665178,0.00005223023,0.0003384101,0.00004223538,0.001448287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001640995,"threshold_uncertainty_score":0.005489707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02275996565590277,"score_gpt":0.2423799978688669,"score_spread":0.2196200322129641,"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."}}