{"id":"W2013499562","doi":"10.1016/j.mee.2009.08.031","title":"The ultrasonic wedge/wedge bonding process investigated using in situ real-time amplitudes from laser vibrometer and integrated force sensor","year":2009,"lang":"en","type":"article","venue":"Microelectronic Engineering","topic":"Electronic Packaging and Soldering Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wedge (geometry); Amplitude; Wire bonding; Ultrasonic sensor; Materials science; Laser Doppler vibrometer; Normal force; Composite material; Vibration; Acoustics; Chip; Mechanics; Optics; Electrical engineering; Optoelectronics; Engineering; Physics; Wavelength","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":[0.0002072297,0.0004422831,0.0003946721,0.0002719413,0.0001490848,0.0001741727,0.0003385945,0.0002148946,0.000003084652],"category_scores_gemma":[0.0001210792,0.0003967109,0.00006180187,0.0007150758,0.00006937041,0.0002126016,0.00003279326,0.0008312138,0.000007133507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006307415,"about_ca_system_score_gemma":0.00007533408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005272193,"about_ca_topic_score_gemma":0.00004646871,"domain_scores_codex":[0.9978801,0.00002703714,0.0003910315,0.0003972214,0.000133063,0.001171565],"domain_scores_gemma":[0.9992661,0.0002118768,0.00004813408,0.0003514474,0.00003042422,0.00009194362],"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":[0.000009951016,0.00001001796,0.00008350152,0.00003729321,0.00006426992,0.00001126107,0.0002529271,0.02305584,0.974773,0.0001765115,0.00003827909,0.001487122],"study_design_scores_gemma":[0.0006923013,0.00008134208,0.0008741624,0.0003954454,0.0000435589,0.00007416116,0.0001291805,0.1972462,0.7978825,0.001415726,0.0004444204,0.0007209929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897457,0.004546326,0.003533098,0.0001188854,0.00007373007,0.0002480823,0.000005164732,0.001622165,0.0001068936],"genre_scores_gemma":[0.9965551,0.0007418685,0.002413952,0.00001272649,0.00004389633,0.00002131977,0.00001964558,0.00008156483,0.000109925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1768905,"threshold_uncertainty_score":0.9998485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006941263830668227,"score_gpt":0.2100029967539246,"score_spread":0.2030617329232564,"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."}}