{"id":"W4412084899","doi":"10.1364/ofc.2025.th1f.5","title":"Chiplet Solutions to Enable AI Scaling","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Computer science; Scaling; Mathematics","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":[0.0008820801,0.0007425086,0.0003972001,0.0007579193,0.0004863402,0.002250476,0.001922228,0.001671853,0.02715902],"category_scores_gemma":[0.001905549,0.0002713364,0.000337361,0.0006011489,0.0005837028,0.003530137,0.002863947,0.001916649,0.008296258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008414264,"about_ca_system_score_gemma":0.000547461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004369488,"about_ca_topic_score_gemma":0.0008558892,"domain_scores_codex":[0.9993846,0.00006231875,0.0000216707,0.00008172919,0.0003379657,0.0001115873],"domain_scores_gemma":[0.999005,0.000145444,0.0000578579,0.0001759947,0.0004704955,0.0001451106],"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":[0.0002633605,0.0001740331,0.0008848598,0.000795455,0.00005893619,0.0004546102,0.0004625057,0.01665673,0.1391408,0.2544162,0.1646907,0.4220017],"study_design_scores_gemma":[0.00006645713,0.0003805727,0.0005668208,0.0002226782,0.00004384622,0.0006196746,0.0002598631,0.07707026,0.0591247,0.06968339,0.7918927,0.0000690946],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04141603,0.01463996,0.6764703,0.01467743,0.005314706,0.0003525731,0.001252954,0.01585958,0.2300165],"genre_scores_gemma":[0.4417588,0.01899081,0.399834,0.008648954,0.001948277,0.0006503422,0.003030607,0.002198323,0.12294],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02715902,"threshold_uncertainty_score":0.0908559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015277818986984,"score_gpt":0.2571033700891528,"score_spread":0.246950591899283,"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."}}