{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002777766,0.0001374863,0.0003587562,0.0000641575,0.0002568438,0.00005183567,0.0001111648,0.00002906543,0.00001572084],"category_scores_gemma":[0.0001744179,0.0001389349,0.00008407834,0.00007154125,0.00007613817,0.0001450134,0.00005107808,0.00004043489,0.0001221521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001389007,"about_ca_system_score_gemma":0.000005040772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008982674,"about_ca_topic_score_gemma":0.00001738895,"domain_scores_codex":[0.9989817,0.000003934842,0.0004018288,0.0002978905,0.00001536445,0.0002992753],"domain_scores_gemma":[0.999531,0.00004150024,0.0001790094,0.0001806155,0.00003038192,0.00003754418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002786947,0.0004170156,0.688019,0.0006175034,0.001041974,0.00001390712,0.01429873,0.001493649,0.00001529635,0.1938693,0.06978527,0.03014962],"study_design_scores_gemma":[0.002107484,0.0002825024,0.004691004,0.0001651444,0.00004336779,0.00001364809,0.001111464,0.04959481,0.00008421535,0.1177758,0.8229687,0.001161814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.840298,0.02996793,0.01953536,0.001183855,0.004007978,0.001065807,0.0001018857,0.0002287603,0.1036104],"genre_scores_gemma":[0.9912775,0.0006817111,0.004097499,0.0001297517,0.0002925429,0.0001561071,0.000005417215,0.00002478141,0.003334757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7531835,"threshold_uncertainty_score":0.5665603,"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."}}