{"id":"W7126251978","doi":"10.21428/594757db.d733a905","title":"Reliability-Driven LiDAR-Camera Fusion for Robust 3D Object Detection","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Robustness (evolution); Lidar; Sensor fusion; Object detection; Dependability; Reliability (semiconductor); Redundancy (engineering); Key (lock)","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":[0.002055369,0.001713555,0.001467707,0.001634523,0.0005030027,0.00117735,0.002401645,0.001234661,0.001548897],"category_scores_gemma":[0.00481352,0.00064432,0.001199534,0.001343377,0.0006270434,0.002107859,0.003325813,0.001715403,0.0008323198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008097802,"about_ca_system_score_gemma":0.001067548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007436407,"about_ca_topic_score_gemma":0.009804765,"domain_scores_codex":[0.9985663,0.000216714,0.00005912947,0.0004456559,0.0005729306,0.0001392236],"domain_scores_gemma":[0.9986783,0.0003352119,0.0001395624,0.0003223904,0.0004602909,0.00006427652],"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":[0.0004645279,0.0002300982,0.005809826,0.000313737,0.0003984519,0.0002827218,0.0002831559,0.3125844,0.04770802,0.004500579,0.009741493,0.617683],"study_design_scores_gemma":[0.000009516939,0.00005536027,0.001280003,0.0000162104,0.00003575842,0.000130247,0.00003373868,0.9821866,0.011019,0.003719174,0.001489654,0.00002477161],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03154124,0.00136701,0.9619149,0.0002194604,0.00008507565,0.00007783659,0.0004258105,0.00296034,0.001408415],"genre_scores_gemma":[0.691914,0.0006752495,0.3022482,0.0003930744,0.0001395165,0.0001170636,0.002316872,0.0003668524,0.001829161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007436407,"threshold_uncertainty_score":0.01478624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516652369822232,"score_gpt":0.2683200038625602,"score_spread":0.2531534801643379,"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."}}