{"id":"W4407870674","doi":"10.3390/pr13030633","title":"TopADDPi: An Affordable and Sustainable Raspberry Pi Cluster for Parallel-Computing Topology Optimization","year":2025,"lang":"en","type":"article","venue":"Processes","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Raspberry pi; Cluster (spacecraft); Computer science; Computer cluster; Topology (electrical circuits); Distributed computing; Embedded system; Operating system; Internet of Things; Mathematics; Combinatorics","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":[0.0001404996,0.0001488118,0.0001732985,0.0001677617,0.0001705718,0.00006439974,0.0001160403,0.0001187478,0.00002423519],"category_scores_gemma":[0.0001874355,0.0001646723,0.00001505537,0.000286463,0.00004456762,0.000349313,0.00005204555,0.00008205496,7.181113e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000440258,"about_ca_system_score_gemma":0.00004758567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006219387,"about_ca_topic_score_gemma":0.000008424474,"domain_scores_codex":[0.9991661,0.00001107668,0.0001990699,0.0002072709,0.00003934217,0.0003771887],"domain_scores_gemma":[0.9995182,0.0001345884,0.00002521643,0.000126088,0.0001522287,0.00004367219],"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":[0.00001098998,0.00001123284,0.0006223033,0.00167067,0.00002298483,7.783734e-7,0.0002220932,0.9931269,0.000006931265,0.003305625,0.0005342962,0.0004652163],"study_design_scores_gemma":[0.0005188178,0.00003313535,0.00004409005,0.00003042491,0.00002422158,0.000006985361,0.0005594548,0.9903812,0.0005494728,0.001543473,0.006123994,0.0001847674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005573154,0.002075196,0.9881515,0.0002398181,0.0002535715,0.000349669,0.000002409115,0.0005109875,0.002843686],"genre_scores_gemma":[0.7367373,0.0004442115,0.2595591,0.0002482677,0.0001408343,0.0001866634,0.00005068272,0.00006494153,0.002568053],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7311641,"threshold_uncertainty_score":0.6715141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005330063681405707,"score_gpt":0.2356014764325993,"score_spread":0.2302714127511936,"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."}}