{"id":"W3191463346","doi":"10.1155/2021/9940126","title":"At the Traffic Intersection, Stopping, or Walking? Pedestrian Path Prediction Based on KPOF-GPDM for Driving Assistance","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Advanced driver assistance systems; Optical flow; Computer science; Computer vision; Intersection (aeronautics); Artificial intelligence; Pedestrian detection; Trajectory; Key (lock); Hotspot (geology); Simulation; Real-time computing; Engineering; Image (mathematics); Transport engineering; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002111617,0.0001157452,0.0001741849,0.00007770764,0.0001579712,0.00001145245,0.00008136385,0.00009792547,0.00003037454],"category_scores_gemma":[0.00005356914,0.00008912862,0.0001499573,0.000180407,0.0000273644,0.0001962405,8.888867e-7,0.0002669221,7.92063e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002066982,"about_ca_system_score_gemma":0.00007154264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.783925e-7,"about_ca_topic_score_gemma":0.0002578915,"domain_scores_codex":[0.9991303,0.00002073433,0.0004345599,0.0001204188,0.0001531327,0.0001408353],"domain_scores_gemma":[0.9993838,0.0001348856,0.0001779718,0.0001342827,0.0001342045,0.00003484659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003200519,0.00003915817,0.0006537189,0.00006059531,0.00005968034,0.00001975533,0.0005642459,0.9618722,0.003655724,0.00006292169,0.0001563325,0.03253567],"study_design_scores_gemma":[0.01231039,0.002640442,0.5582576,0.001819442,0.0007772237,0.0002007577,0.005916207,0.2618774,0.05969848,0.0009591055,0.09455273,0.0009901087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8384558,0.0002424788,0.1597598,0.0002990315,0.0008791056,0.0001519489,0.00002406598,0.0001235938,0.00006414281],"genre_scores_gemma":[0.9966346,0.0001093209,0.00296392,0.00004355599,0.00009673557,0.00001583715,0.00003062299,0.00002302865,0.00008235735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6999947,"threshold_uncertainty_score":0.363456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006578363872777921,"score_gpt":0.2189207539255832,"score_spread":0.2123423900528053,"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."}}