{"id":"W1987319212","doi":"10.1080/17549175.2013.771694","title":"Neighbourhood type and walkshed size","year":2013,"lang":"en","type":"article","venue":"Journal of Urbanism International Research on Placemaking and Urban Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Geography; Transport engineering; Urban planning; Regional science; Computer science; Built environment; Mathematics; Civil engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004316352,0.0001034685,0.0002028745,0.0006402556,0.000290549,0.0007894213,0.0002905786,0.0002504684,0.006494435],"category_scores_gemma":[0.005768938,0.0001065766,0.0002917531,0.00114662,0.0003375668,0.0005409032,0.0007899751,0.0002169704,0.000531026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003379733,"about_ca_system_score_gemma":0.0001920198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006846643,"about_ca_topic_score_gemma":0.02226906,"domain_scores_codex":[0.9996452,0.0001094315,0.00004130022,0.00005078052,0.0001148091,0.00003840506],"domain_scores_gemma":[0.9965752,0.00126943,0.0009785515,0.0004054017,0.0003141695,0.0004571316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001809968,0.00004096061,0.9862462,0.00004775318,0.0000872281,0.0001206856,0.0004084383,0.0009800779,0.0004038745,0.0007939184,0.0004177616,0.01027212],"study_design_scores_gemma":[0.000004805729,0.00005333454,0.9965194,0.00001849468,0.00001596642,0.0001876248,0.0008550715,0.0005246027,0.00008809739,0.0005389239,0.001186674,0.000007057089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930937,0.0001918527,0.0004874961,0.00005155995,0.000008545173,0.00001241294,0.001016277,0.00001751308,0.005120644],"genre_scores_gemma":[0.998558,0.00005515264,0.0002338893,0.000004281377,0.000002348268,0.000005458238,0.0004657272,0.000005386858,0.0006697795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006846643,"threshold_uncertainty_score":0.02172601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04177947903443462,"score_gpt":0.4096844861149273,"score_spread":0.3679050070804927,"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."}}