{"id":"W4408791866","doi":"10.1109/jiot.2025.3554167","title":"BlockHybrid: Accelerating Object Detection Pipelines With Hybrid Block-Wise Execution","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"China Scholarship Council","keywords":"Computer science; Pipeline transport; Block (permutation group theory); Object (grammar); Parallel computing; Artificial intelligence","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":[0.000307414,0.0001810205,0.0002181121,0.0002514922,0.0001954911,0.0002426927,0.0008791408,0.00003931401,0.000004130883],"category_scores_gemma":[0.00004869172,0.000150207,0.00009518465,0.0004395378,0.00006312678,0.0009947234,0.0001301226,0.0005069343,0.000005664738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103826,"about_ca_system_score_gemma":0.00007672577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003286021,"about_ca_topic_score_gemma":0.000008382771,"domain_scores_codex":[0.9985458,0.00006029852,0.0005136289,0.0003138387,0.0003045541,0.0002618882],"domain_scores_gemma":[0.9986529,0.000121581,0.0004933348,0.0003206189,0.0003328193,0.00007875649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000366116,0.0004361871,0.00124542,0.000126496,0.0003772785,0.0001890816,0.00237685,0.04189081,0.3611782,0.005398912,0.01623706,0.5701776],"study_design_scores_gemma":[0.0006021825,0.0002185389,0.00020851,0.0003963856,0.0000357438,0.001602392,0.00003769288,0.2744397,0.7143431,0.005542768,0.002331205,0.0002417771],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2653114,0.0001083679,0.7327694,0.0005178863,0.000536533,0.0001220969,4.02873e-7,0.00009817237,0.0005358171],"genre_scores_gemma":[0.9494512,0.00003393548,0.04928607,0.0003881111,0.0001833848,0.00001224537,4.313243e-7,0.00001126066,0.0006333308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6841398,"threshold_uncertainty_score":0.6125264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348921299160528,"score_gpt":0.2577479352263319,"score_spread":0.2442587222347267,"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."}}