{"id":"W140614130","doi":"","title":"Livability Impacts of Geometric Design Cross-Section Changes from Road Diets","year":2005,"lang":"en","type":"article","venue":"","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Context (archaeology); Transit (satellite); Public transport; Geography; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005535269,0.0001337632,0.0002242375,0.0002050619,0.00006160325,0.00002356636,0.0001519658,0.0001796726,0.01148193],"category_scores_gemma":[0.0002110666,0.000112778,0.00007943517,0.0004794803,0.00006503455,0.0001037422,0.0000364371,0.0001398688,0.0003303494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005661904,"about_ca_system_score_gemma":0.00001412598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003628413,"about_ca_topic_score_gemma":0.0001905146,"domain_scores_codex":[0.9988247,0.0001347327,0.0002643419,0.000325446,0.0001644417,0.0002863346],"domain_scores_gemma":[0.998979,0.0003360337,0.0001466069,0.0003712972,0.00007725053,0.00008976288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001063497,0.001282205,0.5529477,0.00003068299,0.0003222365,0.0000109139,0.007272182,0.0003433013,0.04557312,0.0003237039,0.01054453,0.3802859],"study_design_scores_gemma":[0.0006050672,0.0002896936,0.9868738,0.000005215668,0.00001401769,0.000002448241,0.0001236091,0.0001146405,0.008959164,0.0001381142,0.002745495,0.0001287277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751865,0.0007869675,0.009529876,0.0002761678,0.0005539492,0.0002222202,0.00001594287,0.0001055451,0.01332279],"genre_scores_gemma":[0.996192,0.0000277974,0.001227874,0.0001873556,0.0004360817,0.0000156207,0.000009057373,0.00001647577,0.001887676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4339261,"threshold_uncertainty_score":0.9894217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05531555739554407,"score_gpt":0.3451560856457624,"score_spread":0.2898405282502184,"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."}}