{"id":"W4285594658","doi":"10.3390/s22145264","title":"Built-In Packaging for Single Terminal Devices","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"CMC Microsystems; Natural Sciences and Engineering Research Council of Canada; Mitacs; Discovery Eye Foundation","keywords":"Terminal (telecommunication); Wire bonding; Interconnection; Electronic packaging; Actuator; Integrated circuit packaging; Chip; Electrical engineering; Electronic engineering; Engineering; Materials science; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.00004344853,0.00006560247,0.00008137144,0.00008016836,0.00005834298,0.000006467416,0.00008708407,0.00001946856,0.00001420182],"category_scores_gemma":[0.0000161496,0.0000710545,0.00002479364,0.0001105332,0.00001239725,0.00003451902,0.00003709817,0.0001036302,0.000002137337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005967175,"about_ca_system_score_gemma":0.00000259281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000066527,"about_ca_topic_score_gemma":0.00004231636,"domain_scores_codex":[0.9995876,0.000001993345,0.0000841322,0.00009365565,0.00005137007,0.0001812805],"domain_scores_gemma":[0.9998297,0.00003579166,0.00001188838,0.0001061142,0.000004365387,0.00001211331],"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":[0.00002450434,0.00006070281,0.001420443,0.0001585058,0.00002287326,0.000139339,0.0007134756,0.2523263,0.6644052,0.0005789821,0.001076848,0.07907285],"study_design_scores_gemma":[0.001259302,0.0003149605,0.003537541,0.00006215927,0.00001994788,0.0001429755,0.008641824,0.03526335,0.4655478,0.006950693,0.477338,0.0009214459],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997774,0.0002096789,0.0001400974,0.00008257908,0.00017485,0.0001015172,0.000009550457,0.0003836377,0.001124087],"genre_scores_gemma":[0.9968395,0.00000823667,0.002892946,0.00001954372,0.00002407971,0.00004729604,0.000002691314,0.00001963264,0.0001461175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4762612,"threshold_uncertainty_score":0.2897518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739806563788683,"score_gpt":0.2430067667940794,"score_spread":0.2256087011561925,"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."}}