{"id":"W3035653422","doi":"10.1109/fccm48280.2020.00033","title":"Hierarchical Modelling of Generators in Design-Space Exploration","year":2020,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Design space exploration; Computer science; Reuse; Component (thermodynamics); Task (project management); Field-programmable gate array; Probabilistic logic; Design flow; Space (punctuation); Space exploration; Computer architecture; Distributed computing; Systems engineering; Embedded system; Artificial intelligence; 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":[0.001504262,0.0009214947,0.0008959524,0.00114312,0.0004953912,0.001329887,0.001646681,0.001113782,0.003884115],"category_scores_gemma":[0.004911908,0.001014489,0.001328531,0.001155076,0.001593166,0.00227279,0.001328973,0.001520862,0.0008561049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009306893,"about_ca_system_score_gemma":0.001291062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002964919,"about_ca_topic_score_gemma":0.004512902,"domain_scores_codex":[0.9987395,0.0004692281,0.00006785862,0.0002012058,0.000413377,0.0001087681],"domain_scores_gemma":[0.9980869,0.001180572,0.0001705313,0.0003365306,0.0001586361,0.00006692745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004606896,0.00002384489,0.0003871154,0.00008097948,0.0000240884,0.00009038782,0.0000934309,0.9235634,0.002727218,0.05663602,0.0003737172,0.01595378],"study_design_scores_gemma":[0.00001118336,0.0000259215,0.00006471268,0.000008796523,0.00001041677,0.00003168441,0.000008259243,0.9661162,0.0008197729,0.03140129,0.001495205,0.000006511293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005558452,0.0001343071,0.9926455,0.00005896234,0.000009561734,0.00003972037,0.00004347349,0.0002843343,0.001225644],"genre_scores_gemma":[0.3840191,0.0006987919,0.6093476,0.0001182636,0.00003957238,0.0003942758,0.0003012382,0.0003249122,0.004756224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003884115,"threshold_uncertainty_score":0.01299363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542255321609606,"score_gpt":0.2689856451105039,"score_spread":0.1147601129495434,"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."}}