{"id":"W1964180441","doi":"10.1111/1540-6229.00801","title":"Space‐Varying Regression Coefficients: A Semi‐parametric Approach Applied to Real Estate Markets","year":2000,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate; Econometrics; Hedonic regression; Parametric statistics; Curse of dimensionality; Smoothing; Economics; Space (punctuation); Covariate; Computer science; Semiparametric model; Database transaction; Mathematics; Statistics; Nonparametric statistics; Finance","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":[0.01230633,0.0008245481,0.00136367,0.001946432,0.0005870073,0.001885522,0.002388935,0.001381639,0.003639919],"category_scores_gemma":[0.0500938,0.001000399,0.002006087,0.002798867,0.001346487,0.002494194,0.00163878,0.003260064,0.001012475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006191059,"about_ca_system_score_gemma":0.001263326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005866192,"about_ca_topic_score_gemma":0.005416728,"domain_scores_codex":[0.9928138,0.005258393,0.0002248617,0.0008206428,0.0006679654,0.0002143101],"domain_scores_gemma":[0.9677718,0.02587288,0.001796316,0.00294268,0.001459093,0.0001573777],"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":[0.00008813589,0.0001423502,0.005968179,0.000217232,0.000460583,0.000317992,0.0007637155,0.6436353,0.001582915,0.1407938,0.00294606,0.2030837],"study_design_scores_gemma":[0.000009687225,0.00003995637,0.001446532,0.00002537338,0.00003403964,0.00007990056,0.0000912501,0.9488185,0.0006224019,0.04571129,0.003077204,0.00004385904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006212621,0.000120049,0.9928518,0.00007641275,0.00001659946,0.00002221603,0.00007426313,0.000175141,0.0004509888],"genre_scores_gemma":[0.4731479,0.000818654,0.5196281,0.0001212453,0.0001442097,0.0004137634,0.0007116511,0.0003978666,0.004616454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01230633,"threshold_uncertainty_score":0.06508291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066647674361054,"score_gpt":0.2176562944685107,"score_spread":0.1969898177249001,"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."}}