{"id":"W2169382062","doi":"10.1080/00420980123880","title":"Estimating Distance Gradients for Apartment Properties","year":2001,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Apartment; Econometrics; Economics; Estimation; Sample (material); Downtown; Multiplicative function; City centre; Hedonic pricing; Property tax; Mathematics; Geography; Public economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001405918,0.0002850221,0.0003365324,0.001160958,0.0001972606,0.0006290487,0.0003278664,0.0003080537,0.00144753],"category_scores_gemma":[0.01002219,0.0002476358,0.0004949624,0.001177429,0.0002672109,0.0007092377,0.0007425807,0.000372962,0.0002127372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003639552,"about_ca_system_score_gemma":0.0003294827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01150434,"about_ca_topic_score_gemma":0.0141145,"domain_scores_codex":[0.9989756,0.0004748261,0.00004717624,0.000257556,0.0001597587,0.00008509113],"domain_scores_gemma":[0.9924629,0.005675499,0.0009411264,0.0004155605,0.0003364545,0.0001684458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004421908,0.0001574429,0.9441509,0.00005771461,0.0002027157,0.0001048006,0.0002865467,0.01924158,0.001925611,0.001765522,0.0002647366,0.03140015],"study_design_scores_gemma":[0.00001483738,0.0001844295,0.9357539,0.0000128082,0.00005708066,0.00008039329,0.0004138981,0.06016882,0.001301559,0.001260149,0.0007345589,0.00001754845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952319,0.00007303888,0.003833683,0.0000188012,0.000002068337,0.00001662685,0.0002194859,0.00001760707,0.0005868091],"genre_scores_gemma":[0.9972438,0.00002293581,0.002172764,0.000002606975,0.000001629559,0.000008284863,0.0003599134,0.000003835478,0.0001843037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01150434,"threshold_uncertainty_score":0.02287477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09834187405984314,"score_gpt":0.251178649426176,"score_spread":0.1528367753663329,"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."}}