{"id":"W2012140152","doi":"10.3141/2195-04","title":"Optimum Urban Clear Zone Distance","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Setback; Transport engineering; Purchasing; Geography; Environmental science; Civil engineering; Engineering; Operations management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005316751,0.0004453564,0.0004422583,0.0009460096,0.000740167,0.00141297,0.0006851929,0.0004842251,0.007757985],"category_scores_gemma":[0.003288933,0.000376236,0.0002711239,0.0008251372,0.0003389185,0.001162414,0.001095099,0.0002807185,0.001108159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007804764,"about_ca_system_score_gemma":0.001484082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005201671,"about_ca_topic_score_gemma":0.02569539,"domain_scores_codex":[0.9990848,0.000224959,0.00005399236,0.0001839955,0.0002266933,0.0002256373],"domain_scores_gemma":[0.9987984,0.0003201954,0.0001741262,0.0001419944,0.0004355101,0.0001298141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002315687,0.001465493,0.117137,0.00171988,0.0001819971,0.0004271677,0.002477476,0.2839038,0.08155169,0.04465372,0.01438945,0.4497766],"study_design_scores_gemma":[0.0006415995,0.004649042,0.4850115,0.0007849628,0.0008086805,0.001347614,0.01732918,0.1974251,0.0920803,0.05442591,0.1450008,0.0004950989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8754636,0.0009914923,0.0681984,0.0002303391,0.00006024942,0.0003023638,0.00112283,0.0005273513,0.05310347],"genre_scores_gemma":[0.979003,0.0002432914,0.0178046,0.00002303456,0.000005698577,0.00008371235,0.0003089797,0.00004843477,0.002479238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007757985,"threshold_uncertainty_score":0.02595305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03473419130255321,"score_gpt":0.3203496423430889,"score_spread":0.2856154510405357,"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."}}