{"id":"W2041094285","doi":"10.1108/14635780010338245","title":"Sorting out access and neighbourhood factors in hedonic price modelling","year":2000,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Neighbourhood (mathematics); Collinearity; Econometrics; Spatial analysis; Computer science; Geographic information system; Autocorrelation; Population; Statistics; Geography; Transport engineering; Mathematics; Cartography; 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":[0.003546734,0.0007268369,0.0008519425,0.001464559,0.0004975724,0.001609935,0.0005981877,0.0004692663,0.00253153],"category_scores_gemma":[0.01679637,0.0003790093,0.001327104,0.00187456,0.0008553198,0.001712528,0.001319018,0.0006215211,0.0002273202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007504026,"about_ca_system_score_gemma":0.0009379963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02576108,"about_ca_topic_score_gemma":0.03205837,"domain_scores_codex":[0.9987298,0.0007728027,0.00005403343,0.0001466796,0.0002059397,0.00009075239],"domain_scores_gemma":[0.9947068,0.00424776,0.0002610929,0.0003733889,0.0002756292,0.000135352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005471116,0.000317942,0.1618166,0.0001363911,0.0004394836,0.0003570062,0.002151076,0.6368114,0.001863568,0.06050616,0.0005029395,0.1345504],"study_design_scores_gemma":[0.00003569487,0.0001556228,0.02767287,0.00002803136,0.00005048283,0.00007198181,0.0003261719,0.9427714,0.0004360752,0.02738359,0.001022856,0.0000452331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5623591,0.0001839948,0.434121,0.0001123447,0.00001924293,0.0001546786,0.0001806123,0.0001053442,0.002763673],"genre_scores_gemma":[0.93502,0.0001320479,0.06388857,0.00001030907,0.00001517551,0.0000709809,0.0001529443,0.0000183077,0.0006916831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02576108,"threshold_uncertainty_score":0.05122226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06244898349020109,"score_gpt":0.2310450023664046,"score_spread":0.1685960188762035,"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."}}