{"id":"W4415062435","doi":"","title":"Dynamic scheduling for deep neural network inference","year":2025,"lang":"fr","type":"article","venue":"theses.fr (ABES)","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sliding window protocol; Scheduling (production processes); Artificial neural network; Deep neural networks","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004340637,0.0004222038,0.0004661165,0.0001581416,0.0002810298,0.0002147986,0.0004475345,0.0003522652,0.0002706113],"category_scores_gemma":[0.0005058696,0.0004801578,0.0002088587,0.0007627509,0.0001145999,0.000246715,0.000118,0.0005103252,0.0001598142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002177622,"about_ca_system_score_gemma":0.00008872253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002112832,"about_ca_topic_score_gemma":0.0001475022,"domain_scores_codex":[0.9978473,0.00008237243,0.0005377859,0.0004429822,0.000186168,0.0009033927],"domain_scores_gemma":[0.9982001,0.000857768,0.00009159381,0.0005021815,0.0001841332,0.0001641754],"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":[0.00001880367,0.00004130784,0.0004182595,0.0002774337,0.0001411222,0.000004326085,0.0006092799,0.8808215,0.00003722616,0.05619149,0.00004765682,0.06139164],"study_design_scores_gemma":[0.0007313589,0.00004072945,0.0002608855,0.0004976762,0.0001625891,0.000004946492,0.0006966819,0.9857119,0.0001592664,0.005411556,0.005878549,0.000443876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01336374,0.01867566,0.9453814,0.001901673,0.007458889,0.000557025,0.00003288863,0.000567559,0.01206117],"genre_scores_gemma":[0.6251392,0.0006323128,0.3722493,0.0003045679,0.0004659846,0.00007828252,0.00004457351,0.00007990705,0.001005871],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6117755,"threshold_uncertainty_score":0.999765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428262138526121,"score_gpt":0.2743848002826787,"score_spread":0.2601021788974175,"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."}}