{"id":"W2101371478","doi":"10.1068/a34171","title":"Measuring Neighbourhood Spatial Accessibility to Urban Amenities: Does Aggregation Error Matter?","year":2002,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":249,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Neighbourhood (mathematics); Amenity; Computer science; Recreation; Data aggregator; Geography; Econometrics; Business; Economics; Political science; Mathematics","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":[0.0589572,0.0006730918,0.001460519,0.002376253,0.001449651,0.003009069,0.001777535,0.001300124,0.001411138],"category_scores_gemma":[0.298166,0.0004376681,0.001383748,0.008142022,0.004168098,0.00409376,0.003319005,0.001269002,0.0002606296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002670574,"about_ca_system_score_gemma":0.002741268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06261459,"about_ca_topic_score_gemma":0.0638025,"domain_scores_codex":[0.9307606,0.0400217,0.005905106,0.007725133,0.01413911,0.001448291],"domain_scores_gemma":[0.6125785,0.2726659,0.05427679,0.03552083,0.023618,0.001339999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000118153,0.00004132947,0.9407473,0.0003073711,0.00110724,0.00007957883,0.004367389,0.004573422,0.0001560462,0.00702554,0.001164932,0.04031171],"study_design_scores_gemma":[0.00001935159,0.0001982646,0.9577875,0.0003467447,0.0006040087,0.0001707235,0.003712675,0.01528729,0.001027274,0.01585977,0.004899046,0.00008742428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8010054,0.004823457,0.1686643,0.004700058,0.0004934728,0.0005194606,0.002432606,0.00023125,0.01712999],"genre_scores_gemma":[0.9845238,0.0004427757,0.01331439,0.0002347862,0.00009998349,0.0001500247,0.000425815,0.00004102532,0.0007674321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06261459,"threshold_uncertainty_score":0.3117992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03143880229902658,"score_gpt":0.237685809231875,"score_spread":0.2062470069328484,"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."}}