{"id":"W7096005827","doi":"","title":"Whose street is it anyway? Regaining lost ground for pedestrians","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infill; Pedestrian; Architecture; Heading (navigation); Public housing; Space (punctuation); Urban planning; Domain (mathematical analysis)","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":[0.0007221131,0.0002570733,0.0002820174,0.0005711235,0.002827688,0.003213113,0.0006525913,0.0008671944,0.005861925],"category_scores_gemma":[0.002095034,0.000188963,0.000347168,0.0005288263,0.003630382,0.003902478,0.001930247,0.001125437,0.001316746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158387,"about_ca_system_score_gemma":0.001158271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009315468,"about_ca_topic_score_gemma":0.02259352,"domain_scores_codex":[0.9996549,0.0001422615,0.000007058153,0.00003706929,0.00004594859,0.000112796],"domain_scores_gemma":[0.9994195,0.00006754004,0.00007204109,0.00005195987,0.00009013497,0.000298761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004712769,0.0003679315,0.08105464,0.000562777,0.0001006163,0.003368673,0.0999155,0.001416914,0.001661282,0.09835777,0.183728,0.5289947],"study_design_scores_gemma":[0.000045216,0.0005102241,0.03981204,0.0005695047,0.00008331229,0.003353871,0.3941319,0.001229376,0.0009817602,0.08409216,0.4751231,0.00006751154],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7588977,0.01501256,0.008775228,0.1074391,0.002232393,0.00003812455,0.0002382905,0.0004244564,0.1069422],"genre_scores_gemma":[0.9756218,0.004704396,0.001233352,0.001991879,0.0001552779,0.00001519453,0.00006557289,0.00004320048,0.01616941],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009315468,"threshold_uncertainty_score":0.01961011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07755381976741021,"score_gpt":0.2576940652587252,"score_spread":0.180140245491315,"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."}}