{"id":"W6987020402","doi":"","title":"Roundabouts and other intersections. [Formerly known as: Roundabouts.]","year":2021,"lang":"en","type":"other","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Roundabout; SAFER; Intersection (aeronautics); Traffic calming; Scope (computer science); Road traffic; Pedestrian; Quarter (Canadian coin); Geometric design","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":[0.0006988219,0.0009593021,0.0004496978,0.002618887,0.002200285,0.00341385,0.001373169,0.001928704,0.09810126],"category_scores_gemma":[0.003093506,0.0003035655,0.0006274445,0.004792876,0.001383923,0.004860274,0.002866353,0.001556765,0.03491268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103744,"about_ca_system_score_gemma":0.001470695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01193542,"about_ca_topic_score_gemma":0.01548475,"domain_scores_codex":[0.9985966,0.0002346696,0.0001333419,0.0002480497,0.0005196169,0.0002677405],"domain_scores_gemma":[0.9979864,0.0003912052,0.0004401075,0.0003264609,0.000712426,0.0001434505],"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":[0.00010575,0.00003052474,0.002269149,0.0008255586,0.00002010433,0.0002842543,0.00142023,0.0004332688,0.0002072371,0.1195426,0.6769048,0.1979566],"study_design_scores_gemma":[0.00000234327,0.00001080617,0.000911511,0.0001418688,0.000004517275,0.0001850599,0.0002609349,0.00004222391,0.00005434662,0.002509816,0.9958652,0.00001127292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007889438,0.03120168,0.0158049,0.003938582,0.01379047,0.0003559626,0.01659923,0.001740429,0.9086792],"genre_scores_gemma":[0.1524034,0.04082258,0.02049736,0.007290188,0.004405595,0.0006451522,0.03932864,0.001037138,0.7335699],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09810126,"threshold_uncertainty_score":0.3281814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263164671948808,"score_gpt":0.2818703581984776,"score_spread":0.2592387114789895,"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."}}