{"id":"W1939074738","doi":"10.1002/atr.1323","title":"Human‐centered designs, characteristics of urban streets, and pedestrian perceptions","year":2015,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Walkability; Urban design; Perception; Transport engineering; Geometric design; Community design; Empirical research; Applied psychology; Computer science; Psychology; Engineering; Built environment; Urban planning; Mathematics; Civil engineering; Statistics","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":[0.0004070392,0.00008014873,0.000226274,0.00008295579,0.0001186293,0.00001931213,0.0001131518,0.0000607212,0.00003837443],"category_scores_gemma":[0.0000417187,0.00007583514,0.00007590483,0.0001354194,0.0001581214,0.0006180548,8.395751e-7,0.0001219038,3.937635e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004492173,"about_ca_system_score_gemma":0.0001636559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000104428,"about_ca_topic_score_gemma":0.001068425,"domain_scores_codex":[0.9988233,0.00005533927,0.0005706864,0.00009379188,0.000331631,0.0001252205],"domain_scores_gemma":[0.9988285,0.00002400326,0.0005161047,0.00006497724,0.0003895297,0.0001769232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001713514,0.0001919153,0.9572863,0.00004248465,0.00002692456,0.00001413202,0.03011564,0.00006968145,0.00515207,0.0005077348,0.00008292274,0.006338819],"study_design_scores_gemma":[0.000880034,0.0001648917,0.9884524,0.00006934952,0.00007091717,3.812893e-7,0.008539688,9.177258e-7,0.000169087,0.0008398774,0.0007338151,0.00007858739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998278,0.0002035399,0.0008902651,0.0001219764,0.0002056087,0.0001117888,0.00003156314,0.00001015644,0.0001470921],"genre_scores_gemma":[0.9978397,0.0001322304,0.0017556,0.0000108574,0.0001667802,0.000001007496,0.00002680716,0.000006948807,0.00006003064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03116613,"threshold_uncertainty_score":0.3092467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05182487947423119,"score_gpt":0.333001026739624,"score_spread":0.2811761472653928,"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."}}