{"id":"W247501010","doi":"","title":"A Comparison of Localized Regression Models in a Hedonic House Price Context","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Weighting; Statistics; Context (archaeology); Regression; Regression analysis; Autoregressive model; Geographically Weighted Regression; Mathematics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008001926,0.00007790247,0.0003871021,0.000865115,0.00009456079,0.00004513403,0.0004932863,0.00004411417,0.00007856492],"category_scores_gemma":[0.00009656234,0.00007138646,0.00009533652,0.001008592,0.0003684241,0.0004455514,0.00001392269,0.0001292983,0.00001283053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002328181,"about_ca_system_score_gemma":0.0006937271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08866023,"about_ca_topic_score_gemma":0.0774021,"domain_scores_codex":[0.9987457,0.00001408633,0.0007018719,0.0001696219,0.0001089831,0.0002596731],"domain_scores_gemma":[0.9987588,0.00003990588,0.0006650493,0.0001531449,0.0001270086,0.0002561247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006244555,0.0001228884,0.6914285,0.00002101268,0.00002353723,0.00007320087,0.001342615,0.0253868,0.0002316468,0.2723479,0.006492391,0.002466958],"study_design_scores_gemma":[0.0038672,0.0005569461,0.4088483,0.0007804789,0.00003878802,0.0002213273,0.001688463,0.2293818,0.0009393534,0.2444856,0.1081706,0.001021111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833698,0.006399704,0.006388464,0.001264239,0.0001745432,0.00006815264,0.00004126494,0.000002868961,0.002291001],"genre_scores_gemma":[0.9991941,0.00004931718,0.000527269,0.0001111935,0.00004034792,7.089131e-7,0.000001813881,0.000005441074,0.00006984196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2825803,"threshold_uncertainty_score":0.9394329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07641240676920594,"score_gpt":0.2682501545741453,"score_spread":0.1918377478049394,"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."}}