{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006471755,0.001201551,0.0008245265,0.00205277,0.001066496,0.001316454,0.001226449,0.00113181,0.07754537],"category_scores_gemma":[0.001165106,0.0006541515,0.0005983787,0.001503445,0.0004008019,0.001563013,0.001681007,0.001808025,0.07151897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000665072,"about_ca_system_score_gemma":0.00101633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007268345,"about_ca_topic_score_gemma":0.0008839184,"domain_scores_codex":[0.998732,0.00006009889,0.00006845331,0.0002025098,0.000855368,0.00008155471],"domain_scores_gemma":[0.9995741,0.00006472485,0.00003931905,0.0001098948,0.0001785577,0.00003341384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001810326,0.0001583259,0.0005538763,0.001963658,0.00001311081,0.0007646348,0.0004592928,0.001441018,0.2476083,0.0281112,0.13906,0.5796855],"study_design_scores_gemma":[0.00001678464,0.0001124882,0.000428441,0.0001319765,0.000008286186,0.0007672889,0.00004636187,0.001327957,0.06195943,0.001561785,0.9336144,0.0000248431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0155572,0.01938259,0.5089425,0.002065775,0.005954198,0.003674346,0.006003388,0.02425513,0.4141649],"genre_scores_gemma":[0.079203,0.01564387,0.3924849,0.002630808,0.001181891,0.002964218,0.01143555,0.005694965,0.4887608],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07754537,"threshold_uncertainty_score":0.2594151,"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."}}