{"id":"W3118782677","doi":"10.1155/2021/8818788","title":"A Method for Run-Time Prediction of On-Chip Thermal Conditions in Dynamically Reconfigurable SOPCs","year":2021,"lang":"en","type":"article","venue":"International Journal of Reconfigurable Computing","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Field-programmable gate array; Task (project management); Embedded system; Transient (computer programming); Field (mathematics); Power (physics); Die (integrated circuit); Set (abstract data type); Real-time computing","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":[0.0003549568,0.0009089252,0.0005452026,0.0007156865,0.000357432,0.0005462432,0.0008821503,0.0007361352,0.001433906],"category_scores_gemma":[0.00196443,0.0003863798,0.0006431298,0.0004781306,0.0003534255,0.000570636,0.00041479,0.0009363252,0.0004655089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006780654,"about_ca_system_score_gemma":0.0008191039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004941824,"about_ca_topic_score_gemma":0.004820455,"domain_scores_codex":[0.9996803,0.00005257404,0.00001241376,0.00009504579,0.0001317823,0.00002786249],"domain_scores_gemma":[0.9994909,0.0002104985,0.00008630976,0.00008076326,0.000112778,0.00001870494],"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":[0.00007187585,0.00004886646,0.001491134,0.00007485347,0.00003545255,0.00008630631,0.00007944573,0.8931236,0.02408818,0.004096875,0.0008131388,0.07599026],"study_design_scores_gemma":[0.000001449056,0.00000840712,0.0001588068,0.000002642311,0.000003253019,0.0000169627,0.000004200761,0.9973431,0.001574608,0.0004979672,0.000384286,0.00000421721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005506251,0.00006465182,0.9928594,0.00002133846,0.00001499356,0.00002677453,0.00003463831,0.0008401812,0.0006317913],"genre_scores_gemma":[0.5029804,0.0002780661,0.4927055,0.0000662548,0.00003682873,0.0003314292,0.0002563149,0.000329188,0.003016099],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004941824,"threshold_uncertainty_score":0.009826124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976169243379407,"score_gpt":0.3026732967534537,"score_spread":0.2829116043196597,"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."}}