{"id":"W4393394735","doi":"10.1109/tsp.2024.3383284","title":"Spatial Registration of Heterogeneous Sensors on Mobile Platforms","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Computer vision","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":[0.0001523029,0.0001312145,0.0001112483,0.0002097108,0.0001401713,0.0002951976,0.0002823817,0.00004600815,0.00003254918],"category_scores_gemma":[7.436576e-7,0.0001126095,0.00007594164,0.0003597398,0.00003804196,0.000801573,0.000002197101,0.0001588071,0.00004713078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003416407,"about_ca_system_score_gemma":0.00005100899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001627805,"about_ca_topic_score_gemma":0.000006480434,"domain_scores_codex":[0.9988944,0.00001140259,0.0002384783,0.0003413705,0.0003511032,0.0001632473],"domain_scores_gemma":[0.999602,0.00004972818,0.0000585739,0.0002113119,0.00003529001,0.00004316535],"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":[0.00002057718,0.0001069602,3.35087e-7,0.0001303571,0.00002437585,0.00003462445,0.0003011315,0.07120592,0.001662412,0.0002783019,0.00006179943,0.9261732],"study_design_scores_gemma":[0.0001470555,0.0003997565,0.000002829325,0.0002425026,0.00001989495,0.00001732703,0.00003166648,0.8581593,0.1393291,0.0007105233,0.0007689826,0.0001711018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01436836,0.00006403919,0.9840724,0.00006642362,0.0003719456,0.0001491886,0.00001328542,0.0002279668,0.0006663765],"genre_scores_gemma":[0.9966506,0.00001130673,0.002745582,0.00004811431,0.00005859417,0.00002132949,0.000003559622,0.0000121779,0.000448692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9822823,"threshold_uncertainty_score":0.4592081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206290439372275,"score_gpt":0.2605317007188656,"score_spread":0.2399026567816381,"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."}}