{"id":"W7118789589","doi":"10.1109/vtc2025-fall65116.2025.11310312","title":"Joint Early Exit and Structured Pruning for Automatic Modulation Classification in Vehicular Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Pruning; Joint (building); Computational complexity theory; Artificial neural network; Key (lock); Deep neural networks; Wireless","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001823734,0.001037396,0.001159483,0.0008391544,0.000765776,0.001435995,0.001872736,0.001449261,0.001221513],"category_scores_gemma":[0.007167945,0.0003891685,0.0006416998,0.000565103,0.000929249,0.001742459,0.00157504,0.00201492,0.000462668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008560451,"about_ca_system_score_gemma":0.001379104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003342874,"about_ca_topic_score_gemma":0.00709496,"domain_scores_codex":[0.9990381,0.0002854973,0.0000565002,0.0001660077,0.0002755437,0.0001783941],"domain_scores_gemma":[0.9973366,0.001604584,0.0001909075,0.0003202357,0.0004393437,0.0001083915],"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":[0.0005153221,0.000187036,0.003389526,0.0001166402,0.00007338446,0.0003053319,0.0001967668,0.6844165,0.01141498,0.02670131,0.004151013,0.2685322],"study_design_scores_gemma":[0.000006212416,0.00003894587,0.0002183473,0.00001255613,0.000008931795,0.00003957517,0.00001319973,0.9910979,0.001862089,0.00632865,0.0003678284,0.000005734428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07510339,0.0006042746,0.9202905,0.0003886776,0.0000652723,0.00006108104,0.00009472224,0.00064265,0.002749425],"genre_scores_gemma":[0.8212456,0.0003677784,0.173688,0.0003791947,0.00009728555,0.0001292419,0.0004100752,0.0001345167,0.003548252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003342874,"threshold_uncertainty_score":0.009644985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580951096701249,"score_gpt":0.2692024255791808,"score_spread":0.2333929146121683,"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."}}