{"id":"W2953568519","doi":"10.1088/1755-1315/286/1/012032","title":"An Investigation of Condominium Property Value Uplift around Light Rail Transit Stations Using a Hedonic Pricing Model","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hedonic pricing; Transit (satellite); Light rail transit; Urban rail transit; Kuala lumpur; Transport engineering; Value (mathematics); Rail transit; Quarter (Canadian coin); Light rail; Transit-oriented development; Business; Advertising; Econometrics; Geography; Economics; Engineering; Public transport; Mathematics; Statistics; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001222325,0.0003249014,0.0004452649,0.0009766895,0.0003584223,0.002223794,0.001010694,0.0007845205,0.004318604],"category_scores_gemma":[0.004145165,0.0003602262,0.00109692,0.00126668,0.0005437331,0.001328102,0.0009824422,0.001119459,0.0002622651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652135,"about_ca_system_score_gemma":0.0007344903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03505189,"about_ca_topic_score_gemma":0.02270627,"domain_scores_codex":[0.9995223,0.0001807276,0.0000268109,0.0001084311,0.00006015643,0.0001015314],"domain_scores_gemma":[0.9965834,0.002132106,0.0006751305,0.0001485515,0.0002348015,0.0002261085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004233555,0.0005571217,0.671325,0.0001184049,0.0003783499,0.001526538,0.0007234361,0.2945391,0.001282127,0.01304975,0.001393677,0.01468312],"study_design_scores_gemma":[0.00001748846,0.0001852007,0.1403878,0.00002501339,0.00008086806,0.0001082465,0.001029307,0.8551177,0.000271403,0.001972499,0.000777744,0.00002662769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938835,0.0001109221,0.003720535,0.0002282114,0.000009823823,0.00002768046,0.0002764879,0.00001710104,0.001725826],"genre_scores_gemma":[0.9987143,0.00004470621,0.0004521398,0.000008170082,0.00000461735,0.000007025286,0.0001265994,0.000002610157,0.0006398387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03505189,"threshold_uncertainty_score":0.06969571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771887263048672,"score_gpt":0.1974462274310222,"score_spread":0.1697273548005355,"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."}}