{"id":"W4413179047","doi":"10.1109/isscs66034.2025.11105698","title":"Pedestrian Intention Prediction Using Uncertainty-Aware Human Pose Estimation","year":2025,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Pedestrian; Computer science; Estimation; Pose; Artificial intelligence; Pedestrian detection; Computer vision; Machine learning; Transport engineering; Engineering","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":[0.0001594402,0.00009313969,0.00008473804,0.0002746448,0.0003361272,0.0002240435,0.0001814925,0.00006515472,0.00009710122],"category_scores_gemma":[0.0000200457,0.00009163767,0.00005618787,0.0003758951,0.00001907109,0.0008382949,0.00006418987,0.00009500384,0.00003977703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197268,"about_ca_system_score_gemma":0.00005160724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001863844,"about_ca_topic_score_gemma":0.00004784784,"domain_scores_codex":[0.9991788,0.00005180434,0.0002382436,0.0002555246,0.000140087,0.0001355613],"domain_scores_gemma":[0.9995189,0.00001940478,0.00007339413,0.000219833,0.0001311986,0.00003732188],"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":[0.00003930575,0.0007115621,0.004648356,0.000293568,0.0001792661,0.00001814557,0.0008964686,0.01956325,0.04175667,0.3119057,0.01389269,0.6060951],"study_design_scores_gemma":[0.0004350011,0.00005377721,0.003451588,0.0001045093,0.00002103925,0.000008055566,0.00008710441,0.9670107,0.00366371,0.02439341,0.0006530567,0.0001180637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1090241,0.000006697606,0.8828873,0.0002852475,0.0006155128,0.0001584893,0.000002147769,0.0003471046,0.006673453],"genre_scores_gemma":[0.9923129,0.000002966289,0.006057141,0.0002322275,0.00005692262,0.000009663501,0.00005003899,0.000003777276,0.001274336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9474474,"threshold_uncertainty_score":0.3736875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02966771547312563,"score_gpt":0.308382199091317,"score_spread":0.2787144836181914,"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."}}