{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005399329,0.0002363795,0.0002877098,0.0003299595,0.00002239202,0.000008503422,0.0001661063,0.0001871337,0.0003472682],"category_scores_gemma":[0.00002881469,0.0002386584,0.00005455095,0.0004221132,0.00002102725,0.00003941226,0.00004209093,0.0005040089,0.000004190212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008871416,"about_ca_system_score_gemma":0.00002143204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001046848,"about_ca_topic_score_gemma":0.00001016588,"domain_scores_codex":[0.9990844,0.000006271097,0.0001967082,0.0001864884,0.0001428027,0.000383357],"domain_scores_gemma":[0.9996965,0.000032533,0.00003373627,0.0001754163,0.000007503153,0.0000543004],"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":[0.00002578858,0.0001590761,0.0008364849,0.0006753264,0.0005321592,0.00002419217,0.0002882031,0.008208048,0.007303852,0.07843091,0.3366898,0.5668262],"study_design_scores_gemma":[0.0002223641,0.0001902817,0.00007962941,0.00005418939,0.00004578924,0.00001930862,0.00001261261,0.03043218,0.001086402,0.0004978708,0.966881,0.0004783368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004916295,0.1124304,0.02591137,0.00004994307,0.0004861294,0.0004367659,0.00002336979,0.003861626,0.8518841],"genre_scores_gemma":[0.4647643,0.3966559,0.01416247,0.00005677968,0.000908794,0.00043558,0.0001718267,0.002317326,0.1205271],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.731357,"threshold_uncertainty_score":0.9732207,"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."}}