{"id":"W2025153625","doi":"10.1016/j.microrel.2014.12.013","title":"Development of a fast method for optimization of Au ball bond process","year":2015,"lang":"en","type":"article","venue":"Microelectronics Reliability","topic":"Electronic Packaging and Soldering Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ball (mathematics); Bond strength; Materials science; Factorial experiment; Ball mill; Response surface methodology; Bond energy; Composite material; Analytical Chemistry (journal); Chemistry; Molecule; Adhesive; Mathematics; Geometry; Chromatography","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":[0.00037051,0.0005882112,0.0005634809,0.0005363388,0.0004062916,0.0004628258,0.0008418422,0.0005308798,0.002211933],"category_scores_gemma":[0.0006749241,0.0003989964,0.000330979,0.000459715,0.0001356437,0.0006541765,0.0003382504,0.0006965552,0.0007127072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004578683,"about_ca_system_score_gemma":0.0009037103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001999869,"about_ca_topic_score_gemma":0.002929495,"domain_scores_codex":[0.9996231,0.00003846362,0.00001220858,0.00006467377,0.0002440037,0.00001752779],"domain_scores_gemma":[0.9996519,0.00009210936,0.00002854495,0.00004193216,0.0001758054,0.0000097232],"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":[0.0001086194,0.0001377588,0.001100623,0.0005125853,0.00006646166,0.00009714935,0.0001274511,0.02553843,0.6710902,0.009873143,0.003152465,0.288195],"study_design_scores_gemma":[0.00004930107,0.0002966571,0.001787269,0.00002149229,0.00005161901,0.000172707,0.00003751948,0.3606607,0.6141379,0.001681716,0.02105063,0.00005246811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03166835,0.0008600093,0.9596721,0.0001005495,0.0001507862,0.0001968587,0.0001763888,0.002129634,0.005045256],"genre_scores_gemma":[0.1841021,0.0006315734,0.8086801,0.00004141511,0.00003758796,0.0003475485,0.0003105443,0.0003351363,0.005514003],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002211933,"threshold_uncertainty_score":0.007399619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688099935453171,"score_gpt":0.2743930466101369,"score_spread":0.2575120472556052,"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."}}