{"id":"W595104386","doi":"10.1007/b138345","title":"Force Sensors for Microelectronic Packaging Applications","year":2005,"lang":"en","type":"book","venue":"Microtechnology and MEMS","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microelectronics; Flip chip; Wire bonding; Engineering; Chip; Mechanical engineering; Electronic packaging; Field (mathematics); Electrical engineering; Nanotechnology; Computer science; Materials science; Manufacturing engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00005718681,0.000364649,0.0004103092,0.0002895598,0.0001457649,0.00001413818,0.0002612484,0.0013183,0.000007891609],"category_scores_gemma":[0.000009695207,0.00039177,0.00009208087,0.00006319035,0.0002587639,0.00004789989,0.00007363995,0.000826474,0.00002540772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001798976,"about_ca_system_score_gemma":0.0000405672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.839195e-7,"about_ca_topic_score_gemma":0.00003303957,"domain_scores_codex":[0.9988143,9.85708e-7,0.0002451672,0.0003918467,0.00003989536,0.0005078478],"domain_scores_gemma":[0.9993764,0.00005226162,0.00006859087,0.000437244,0.00003074221,0.0000348062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007718211,0.0000103847,2.394856e-7,0.0003527467,0.0001658892,0.000004197536,0.00003104055,0.0001259157,0.5737165,0.01406013,0.02097085,0.3905544],"study_design_scores_gemma":[0.0002216917,0.00003729569,2.424501e-7,0.00004762478,0.00004430291,0.00007091419,0.00002067654,0.00004164709,0.1602962,0.02928383,0.8095999,0.0003356178],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01921687,0.297617,0.4115789,0.004326905,0.001331803,0.01544882,0.001115742,0.03352765,0.2158363],"genre_scores_gemma":[0.003960487,0.02841775,0.02532686,0.0001545081,0.0005903224,0.002432177,0.0002796009,0.0004144276,0.9384239],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7886291,"threshold_uncertainty_score":0.9999782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004376844296585042,"score_gpt":0.2012866170557779,"score_spread":0.1969097727591929,"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."}}