{"id":"W4320011112","doi":"10.1109/iccspa55860.2022.10019115","title":"Cooperative Perception: Mitigating Messages Content Duplication","year":2022,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Perception; Metric (unit); Key (lock); Transmission (telecommunications); Computer network; Bandwidth (computing); Computer security; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001649281,0.001207614,0.001101666,0.001151652,0.00092547,0.001214253,0.002080756,0.001015631,0.000947234],"category_scores_gemma":[0.0082344,0.0003392525,0.0005203208,0.0008134949,0.0008506443,0.002725541,0.002421393,0.0009848385,0.0004680908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009008384,"about_ca_system_score_gemma":0.00153155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002970839,"about_ca_topic_score_gemma":0.002856196,"domain_scores_codex":[0.9977836,0.000438995,0.0001048827,0.0003150007,0.001036056,0.0003215084],"domain_scores_gemma":[0.9951646,0.001626071,0.000747968,0.001083124,0.001095053,0.0002830618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001677852,0.0008465815,0.008898643,0.0005961877,0.0003030105,0.001569808,0.002305526,0.2316052,0.1669172,0.01735704,0.007865481,0.5600573],"study_design_scores_gemma":[0.00007737093,0.001204721,0.00521764,0.00005396743,0.0002093576,0.001730936,0.001077188,0.8979091,0.07254617,0.01224724,0.007636794,0.00008953871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.314057,0.001213923,0.6727311,0.0006055346,0.0002618443,0.0002565732,0.000130899,0.003108679,0.007634482],"genre_scores_gemma":[0.9320844,0.0002246429,0.06480379,0.0002038929,0.00007934985,0.00006759595,0.0001467901,0.0001078121,0.002281682],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002970839,"threshold_uncertainty_score":0.008722305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872896929025402,"score_gpt":0.2130357070059268,"score_spread":0.1943067377156728,"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."}}