{"id":"W4404295312","doi":"10.1109/mmsp61759.2024.10743791","title":"Learned Multimodal Compression for Autonomous Driving","year":2024,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Compression (physics); Data compression; Human–computer interaction; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0001714622,0.00007216763,0.00008694614,0.00006481443,0.00006307909,0.0003007105,0.000328177,0.00004205585,0.00001776989],"category_scores_gemma":[0.00002725376,0.0000545882,0.0000661972,0.0001162322,0.000009595376,0.0002699392,0.0001041854,0.00004997305,0.0001923061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002484671,"about_ca_system_score_gemma":0.00005670416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005294513,"about_ca_topic_score_gemma":0.00001192355,"domain_scores_codex":[0.9992918,0.00001817405,0.0001201451,0.0002813785,0.00009944319,0.0001891096],"domain_scores_gemma":[0.9995036,0.0001598437,0.00001357472,0.0002329461,0.00002273035,0.0000673249],"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":[0.00001191484,0.00007355877,0.0004744426,0.0001766622,0.00004406677,0.00004560703,0.002127351,0.0005260599,0.03194865,0.3021258,0.04315092,0.619295],"study_design_scores_gemma":[0.0001962303,0.0000546535,0.0003792788,0.00004934841,0.000001961832,0.00001127378,0.00002193716,0.9396184,0.006780847,0.003944662,0.04882003,0.0001213864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004040577,0.0001970791,0.9840109,0.001047194,0.001711753,0.0002080455,0.000001202336,0.0008015533,0.007981743],"genre_scores_gemma":[0.9254084,0.000001280275,0.07163867,0.00008270761,0.0001825674,0.00002699043,0.000002971843,0.000007175276,0.002649213],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9390923,"threshold_uncertainty_score":0.2899758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613588507474247,"score_gpt":0.2908942774544464,"score_spread":0.2647583923797039,"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."}}