{"id":"W2504521433","doi":"10.2495/safe-v6-n2-383-393","title":"Wide-area based traffic situation detection at an ungated level crossing","year":2016,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overtaking; Computer science; Real-time computing; Probabilistic logic; Range (aeronautics); Situated; Event (particle physics); Artificial intelligence; Transport engineering; Simulation; Data mining; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003598876,0.0006254662,0.0006945424,0.002104851,0.0002940875,0.0007851398,0.0007754501,0.0005623024,0.002284146],"category_scores_gemma":[0.0007609022,0.0002419392,0.0003884103,0.0007655209,0.0002468734,0.0004369521,0.0009694679,0.0004291258,0.000706281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003729348,"about_ca_system_score_gemma":0.0005603626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002278316,"about_ca_topic_score_gemma":0.004516624,"domain_scores_codex":[0.9993775,0.00009751595,0.00001457425,0.000195574,0.0002077012,0.0001071713],"domain_scores_gemma":[0.9992542,0.0001316141,0.000111566,0.0001117347,0.000213199,0.000177636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001704712,0.0005577477,0.08360399,0.0003734064,0.0002736814,0.002160751,0.001487221,0.0699413,0.4101551,0.001869878,0.002803263,0.4250689],"study_design_scores_gemma":[0.00008034958,0.001761889,0.2199006,0.00009992583,0.0001477341,0.001695386,0.0006397513,0.6769387,0.09077801,0.001723047,0.006070671,0.0001640046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7593459,0.0001695942,0.2326161,0.00003801024,0.00004649598,0.0001742306,0.0008626494,0.003430525,0.003316466],"genre_scores_gemma":[0.9217708,0.00005458133,0.07643533,0.00001158302,0.000008076216,0.00005383587,0.000690086,0.00004650548,0.0009292974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002284146,"threshold_uncertainty_score":0.007641196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009792397426954693,"score_gpt":0.2073932185345662,"score_spread":0.1976008211076115,"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."}}