{"id":"W2116111386","doi":"10.1177/08854120122093249","title":"Pedestrian Behavior Pedestrian Behavior and Perception in Urban Walking Environments","year":2001,"lang":"en","type":"article","venue":"Journal of Planning Literature","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":171,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Pedestrian; Relation (database); Metric (unit); Perception; Computer science; Built environment; Poison control; Urban design; Transport engineering; Human–computer interaction; Urban planning; Engineering; Psychology; Civil engineering; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004261754,0.0001784721,0.0002426869,0.0001610309,0.0001250083,0.0001222662,0.0001639696,0.0001779748,0.0003135388],"category_scores_gemma":[0.00001996671,0.0001536654,0.00006645313,0.0002281103,0.00006049685,0.0006140902,0.00005505665,0.000669488,0.00001786367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253369,"about_ca_system_score_gemma":0.00001493615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009785951,"about_ca_topic_score_gemma":0.0000891922,"domain_scores_codex":[0.9985861,0.00008621257,0.0004205249,0.0002159326,0.0003753211,0.0003159123],"domain_scores_gemma":[0.9993225,0.00002857908,0.0002913386,0.0001345046,0.00000605374,0.0002170289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006586426,0.0001284469,0.9827375,0.000007354889,0.000003177035,0.0009357458,0.005337107,0.00002358822,0.005537162,0.000001012497,0.001172377,0.004050686],"study_design_scores_gemma":[0.0008179813,0.0002646037,0.984814,0.0001974098,0.00004559075,0.000790701,0.0004972882,0.00002081266,0.000008490233,0.00001312724,0.01237702,0.0001529871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982239,0.0009459021,0.00003053468,0.0002143352,0.0001584896,0.0001678677,0.000006178543,0.000006692966,0.000246087],"genre_scores_gemma":[0.9975049,0.0002656278,0.0009228804,0.000159904,0.0002703247,0.000005767805,0.00001056047,0.00001706815,0.0008429663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01120464,"threshold_uncertainty_score":0.6266294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701101136437915,"score_gpt":0.2735283272441894,"score_spread":0.2565173158798102,"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."}}