{"id":"W4414229954","doi":"10.1109/jsac.2025.3610448","title":"A Predictive Integrated Sensing, Communication, and Computation Over-the-Air Approach for IoV: Optimization and Trade-Off Analysis","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Science and Technology Innovation Foundation of Harbin; National Natural Science Foundation of China","keywords":"Beamforming; Telecommunications link; Computation; Transmitter power output; Maximization; Optimization problem; Kalman filter; Reliability (semiconductor); Multiplexing","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":[0.0008341634,0.0009501413,0.0007182824,0.0003599795,0.0003845739,0.0009031576,0.0009065575,0.0007347997,0.001001209],"category_scores_gemma":[0.001565546,0.0004484487,0.000452607,0.0006257297,0.0008888718,0.001226873,0.001109983,0.0009155727,0.0001326451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007139304,"about_ca_system_score_gemma":0.00124587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005791743,"about_ca_topic_score_gemma":0.004598415,"domain_scores_codex":[0.9994614,0.0001365162,0.00001900039,0.00009311597,0.0002126485,0.00007736912],"domain_scores_gemma":[0.9994606,0.000318661,0.00005863758,0.00003146232,0.0001054317,0.00002515231],"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":[0.00004025728,0.00002093436,0.0003671316,0.00004084233,0.00001810977,0.00003959654,0.00003545064,0.965409,0.002159127,0.007474402,0.0003539872,0.02404122],"study_design_scores_gemma":[0.000001423888,0.00001263855,0.00003846659,0.000001573487,0.000003029021,0.00000512789,0.000004563573,0.9987349,0.0002568369,0.0008112825,0.0001280918,0.00000216038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00999672,0.0003943877,0.9862769,0.0001373432,0.00003322286,0.00002144391,0.00001259055,0.0000895366,0.003037856],"genre_scores_gemma":[0.9009984,0.0007156945,0.09562584,0.0001383605,0.00007472181,0.0001251726,0.00006043423,0.00005157779,0.002209802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005791743,"threshold_uncertainty_score":0.01151609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491433073035123,"score_gpt":0.2767919813017993,"score_spread":0.2618776505714481,"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."}}