{"id":"W2801516658","doi":"10.1088/1742-6596/1004/1/012011","title":"JANUS: A Compilation System for Balancing Parallelism and Performance in OpenVX","year":2018,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Parallel computing; Multi-core processor; Implementation; Graph; Field-programmable gate array; Memory bandwidth; Computer architecture; Embedded system; Computer hardware; Theoretical computer science","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":[0.0001052923,0.00007411252,0.0001654039,0.00003417762,0.00004259056,0.00005491795,0.00006277219,0.00002040047,0.000001762227],"category_scores_gemma":[0.000006975935,0.0000671062,0.00002073024,0.00005583179,0.0000419191,0.0004707889,0.000009160615,0.0000824906,0.000001465503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003692653,"about_ca_system_score_gemma":0.00003091637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001919379,"about_ca_topic_score_gemma":0.000005703474,"domain_scores_codex":[0.9995692,0.000007838186,0.0001979967,0.00004750811,0.00007233259,0.0001051733],"domain_scores_gemma":[0.9996973,0.00001954376,0.00007045561,0.0000513218,0.0001347557,0.00002658779],"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":[0.001118173,0.0001372506,0.1456407,0.005008719,0.0003797526,0.00003983553,0.05893321,0.02407155,0.158146,0.08849079,0.0007276954,0.5173064],"study_design_scores_gemma":[0.003532127,0.001202118,0.1958036,0.003274441,0.00009007512,0.000330689,0.006808939,0.3810777,0.39815,0.004244068,0.004603247,0.0008829167],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776128,0.00006672955,0.02091123,0.00005712356,0.0002927511,0.00007160725,0.000004128206,0.00002095806,0.0009626666],"genre_scores_gemma":[0.9983373,0.00003959648,0.001320041,0.000007430694,0.000263232,0.000001781223,0.00000105163,0.00000863969,0.00002097904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5164235,"threshold_uncertainty_score":0.2736511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523198114542557,"score_gpt":0.2182847003834838,"score_spread":0.2030527192380583,"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."}}