{"id":"W1985871226","doi":"10.1002/atr.5670350106","title":"Characterization of incidents on an urban arterial road","year":2001,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Upstream (networking); Occupancy; Transport engineering; Street network; Traffic flow (computer networking); Environmental science; Downstream (manufacturing); Traffic congestion; Computer science; Engineering; Civil engineering; Telecommunications; Computer security; Operations management","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":[0.00006388137,0.00006425666,0.0001094122,0.0001443832,0.00001203153,0.000006174735,0.00005913091,0.0000320926,0.00001118668],"category_scores_gemma":[0.000002279819,0.00006429798,0.00003913016,0.00009336686,0.000007147809,0.0005304342,3.376865e-7,0.0000657944,7.464652e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002228322,"about_ca_system_score_gemma":0.00000451267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.574428e-7,"about_ca_topic_score_gemma":0.000005715885,"domain_scores_codex":[0.9993906,0.000008101424,0.000339053,0.00004516845,0.0001577621,0.00005932892],"domain_scores_gemma":[0.9996936,0.000002783928,0.0001487137,0.00005913202,0.00005977393,0.00003604529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003157936,0.0001484164,0.001163517,0.00004341276,0.0000440603,0.00002202771,0.001644901,0.05543626,0.8564176,0.0003359124,0.0001241248,0.084304],"study_design_scores_gemma":[0.001342805,0.0005301908,0.9470406,0.0001330752,0.00004614043,0.000006251364,0.0001377549,0.001464055,0.04384597,0.00006927728,0.005249939,0.0001340033],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439794,0.000006733362,0.05510823,0.00001212527,0.0005117962,0.00007468474,0.000006674851,0.0001831325,0.0001172619],"genre_scores_gemma":[0.9987499,0.0002509581,0.0007934197,0.00001819601,0.0001145958,0.000002174183,0.00005292668,0.00001158694,0.000006251841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.945877,"threshold_uncertainty_score":0.2621996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005838795686560706,"score_gpt":0.2222892887218004,"score_spread":0.2164504930352397,"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."}}