{"id":"W4416714690","doi":"10.1109/mwscas53549.2025.11244417","title":"Binary Insertion Sort for Hardware Acceleration: Balancing Flexibility and Resource Efficiency","year":2025,"lang":"","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"sort; Sorting; Scalability; Sorting algorithm; Flexibility (engineering); Binary number","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001263663,0.0002912319,0.000335677,0.0002899015,0.001005279,0.0006701258,0.0006343551,0.0002091431,0.00002251882],"category_scores_gemma":[0.0002685964,0.0002938868,0.0001123418,0.000924314,0.0001226628,0.0005216797,0.0005735419,0.0001983306,0.000003280677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001193648,"about_ca_system_score_gemma":0.0003189804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002865685,"about_ca_topic_score_gemma":0.000005567417,"domain_scores_codex":[0.9974292,0.0001732589,0.0006806412,0.001055061,0.0002379453,0.0004239313],"domain_scores_gemma":[0.9983185,0.0002745058,0.0001722683,0.000749663,0.0003777631,0.0001073235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004952042,0.001384767,0.01394401,0.00187243,0.0001600305,0.000009831568,0.004171173,0.1659261,0.002293583,0.1636082,0.09005477,0.5560799],"study_design_scores_gemma":[0.0005280168,0.0002571298,0.004038315,0.0002019409,0.00001994914,0.000003637463,0.00005194344,0.9783149,0.003406274,0.002496769,0.01038069,0.0003003764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01568396,0.0008512043,0.9703311,0.002787068,0.0004142401,0.0009457957,0.000005044952,0.0006901256,0.008291418],"genre_scores_gemma":[0.8241194,0.00009480881,0.1683077,0.001620168,0.00009396761,0.00006058966,0.00001901379,0.00001224597,0.005672066],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8123888,"threshold_uncertainty_score":0.9999513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713260947797482,"score_gpt":0.2990428848673205,"score_spread":0.2719102753893457,"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."}}