{"id":"W2939999353","doi":"10.1002/9781119313991.ch17","title":"Process and Equipment for eWLB","year":2019,"lang":"en","type":"other","venue":"","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"Bundesministerium für Bildung und Forschung","keywords":"Ball grid array; Compression molding; Wafer; Microelectronics; Manufacturing engineering; Molding (decorative); Computer science; Process (computing); Reliability (semiconductor); Process engineering; Mechanical engineering; Engineering; Materials science; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.000009302511,0.00008307221,0.00009890551,0.00005043103,0.000003406723,0.000005918876,0.00005622672,0.000142277,0.0001560383],"category_scores_gemma":[0.000002545976,0.0000653003,0.00001101273,0.00001540914,0.00000943851,0.00000726048,0.00001314608,0.00003545975,0.00004855887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005480819,"about_ca_system_score_gemma":0.00000307858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002644223,"about_ca_topic_score_gemma":0.000005217231,"domain_scores_codex":[0.9997782,2.621425e-7,0.00003573664,0.00007443196,0.00002629863,0.0000850791],"domain_scores_gemma":[0.999887,0.000005014527,0.000007257649,0.0000897437,0.000002611736,0.000008335603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[3.883268e-7,0.000001901376,0.00001297138,0.0006715658,0.00003619057,1.992576e-7,0.000009880283,0.000007330497,0.00001552458,0.002361342,0.9856573,0.01122541],"study_design_scores_gemma":[0.0001225368,0.00001601266,0.00000294003,0.00006177348,0.000007617954,5.626487e-7,0.00004883399,0.00032998,0.0007246479,0.0005070014,0.9980419,0.000136144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000211204,0.001397015,0.01065537,0.00003014502,0.0001504447,0.0003010317,0.000009885311,0.001436228,0.9859987],"genre_scores_gemma":[0.004657081,0.0002443706,0.001748658,0.00001435212,0.00004348872,0.00006405942,0.000004909545,0.000200793,0.9930223],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01238465,"threshold_uncertainty_score":0.2662869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008090062263345651,"score_gpt":0.2232538289533447,"score_spread":0.215163766689999,"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."}}