{"id":"W782741281","doi":"","title":"Traffic Calming - Speed Humps and Speed Cushion","year":2011,"lang":"en","type":"article","venue":"","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Traffic calming; Context (archaeology); Fact sheet; Transport engineering; Engineering; Computer security; Computer science; World Wide Web; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005557489,0.0009254356,0.0004822148,0.002988423,0.003428907,0.004837206,0.001482617,0.002238476,0.02485852],"category_scores_gemma":[0.01481725,0.0005207458,0.0004966711,0.003408145,0.002528767,0.00250599,0.001866743,0.0023621,0.004108099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01976299,"about_ca_system_score_gemma":0.02167385,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5911726,"about_ca_topic_score_gemma":0.7232041,"domain_scores_codex":[0.989731,0.001555516,0.0007694128,0.0006119828,0.006473726,0.0008584149],"domain_scores_gemma":[0.9858658,0.002428512,0.001181348,0.001145062,0.008669605,0.0007096561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001778618,0.0001567848,0.0123032,0.002442157,0.00004612335,0.0005565059,0.008961825,0.002181345,0.002430364,0.08687161,0.6203961,0.2634762],"study_design_scores_gemma":[0.00001111865,0.00008484381,0.02145054,0.0007922141,0.00001891412,0.00009862151,0.002304914,0.0001919153,0.0008880169,0.001812476,0.9722931,0.00005320455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05611588,0.01437613,0.02596074,0.05489823,0.004424412,0.003318022,0.02452339,0.001944492,0.8144386],"genre_scores_gemma":[0.3663383,0.0176577,0.0578585,0.02045267,0.0008820315,0.002918527,0.02276523,0.0008328739,0.5102941],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5911726,"threshold_uncertainty_score":0.8224702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237787306852295,"score_gpt":0.1997520857471491,"score_spread":0.1773742126786262,"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."}}