{"id":"W4212833482","doi":"10.1002/047134608x.w8433","title":"Wafer‐Scale Integration","year":2022,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Electrical and Electronics Engineering","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Wafer; Interconnection; Scalability; Wafer-scale integration; System integration; Scale (ratio); Chip; Computer science; Key (lock); Systems engineering; Scaling; Chip-scale package; Integration platform; Embedded system; Nanotechnology; Engineering; Materials science; Telecommunications; Physics; Database; Operating system","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":[0.0002231045,0.0006432732,0.0004097239,0.0006397238,0.0003091366,0.001426958,0.0009273204,0.0007962883,0.01981718],"category_scores_gemma":[0.0003020899,0.0002851613,0.0005253822,0.0007020613,0.0001645403,0.001104237,0.001335582,0.0006900033,0.01561752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006328495,"about_ca_system_score_gemma":0.0004677839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065705,"about_ca_topic_score_gemma":0.001357471,"domain_scores_codex":[0.9996263,0.00002179983,0.00001483557,0.00007605385,0.0002155512,0.00004549051],"domain_scores_gemma":[0.9998525,0.00001334287,0.00001641336,0.0000391401,0.00006657297,0.00001186359],"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":[0.00007744849,0.0001268125,0.0009394163,0.001827514,0.0001046707,0.0008261291,0.0001462991,0.005132376,0.3045032,0.06400242,0.1125091,0.5098046],"study_design_scores_gemma":[0.00001889552,0.0001367304,0.001048204,0.0001604004,0.00003955695,0.0007249497,0.00007617962,0.006724117,0.07156589,0.006533514,0.9129394,0.00003233792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03435621,0.05340848,0.1412614,0.001900246,0.005256686,0.0005825871,0.00296743,0.004475176,0.7557917],"genre_scores_gemma":[0.4355903,0.07995469,0.139996,0.002873384,0.00125711,0.0008256359,0.008180182,0.0009515131,0.3303712],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01981718,"threshold_uncertainty_score":0.06629503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002490535453082054,"score_gpt":0.1669719437089376,"score_spread":0.1644814082558555,"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."}}