{"id":"W4390831799","doi":"10.1109/tiv.2024.3353254","title":"V2VFormer: Vehicle-to-Vehicle Cooperative Perception With Spatial-Channel Transformer","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Vehicles","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Information retrieval","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016377,0.0004531387,0.0003283161,0.0004666467,0.0003126684,0.0001011694,0.0002395654,0.0003108209,0.0004858819],"category_scores_gemma":[0.000001624546,0.0003927745,0.0001742512,0.0006478638,0.0001668281,0.0003394787,0.000001329511,0.0008393987,0.001571379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000295795,"about_ca_system_score_gemma":0.00006056246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001004844,"about_ca_topic_score_gemma":0.0004467216,"domain_scores_codex":[0.9981427,0.00003924503,0.0004375732,0.0005259924,0.0002922588,0.0005622608],"domain_scores_gemma":[0.9992501,0.000108014,0.00001747377,0.000342396,0.00008029255,0.0002017547],"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":[0.0003273949,0.0002012773,0.0000173584,0.0001615242,0.0004235254,0.00005363287,0.004100196,0.4257543,0.04121082,0.0003312794,0.0003914731,0.5270272],"study_design_scores_gemma":[0.0004991944,0.001271681,0.0004981493,0.000423951,0.0001801047,0.00007937882,0.001458875,0.3716179,0.6154059,0.0003241048,0.00719625,0.001044601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2992762,0.000151884,0.696198,0.000566861,0.0005279856,0.0004835323,0.0000787434,0.001833035,0.0008838047],"genre_scores_gemma":[0.9977317,0.0005004987,0.0004085627,0.0002216192,0.00007904254,0.0002511321,0.000008998544,0.0001283772,0.0006700871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6984555,"threshold_uncertainty_score":0.9998524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150149626413632,"score_gpt":0.2260102326837719,"score_spread":0.2145087364196356,"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."}}