{"id":"W2043128113","doi":"10.3141/2076-20","title":"Influence of Transportation Access and Market Dynamics on Property Values","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Multilevel model; Econometrics; Explanatory power; Property (philosophy); Cluster (spacecraft); Sample (material); Specification; Spatial heterogeneity; Computer science; Hierarchical database model; Economics; Statistics; Mathematics; Data mining","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008527039,0.0002006143,0.0003873795,0.0007407855,0.0004265215,0.002313208,0.0004399689,0.0005059266,0.005605947],"category_scores_gemma":[0.01009024,0.0002365773,0.0007491241,0.001167878,0.0007223382,0.001227261,0.0009206679,0.0007252154,0.0003599154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462438,"about_ca_system_score_gemma":0.0006490598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08615188,"about_ca_topic_score_gemma":0.09583445,"domain_scores_codex":[0.9992732,0.000344729,0.00002774765,0.0001152299,0.0001026328,0.0001363494],"domain_scores_gemma":[0.992016,0.00504383,0.001456772,0.0004443524,0.0004153104,0.0006237393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002685791,0.0001742187,0.9470675,0.00003334273,0.000345643,0.000513717,0.000877706,0.02059885,0.001155549,0.01374827,0.0005685315,0.01464802],"study_design_scores_gemma":[0.0000155601,0.0001366152,0.9164487,0.00001596933,0.000148546,0.0001492024,0.0009790485,0.07251393,0.0002373847,0.007949629,0.001378243,0.00002713143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918561,0.0001500727,0.002475728,0.0002647001,0.000006636319,0.00001360201,0.0002583731,0.00001338476,0.004961404],"genre_scores_gemma":[0.9990999,0.00005336231,0.0002228701,0.000005973568,0.000004640078,0.000003592173,0.00006035305,0.000003360193,0.0005459255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08615188,"threshold_uncertainty_score":0.1713008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065301581553805,"score_gpt":0.3360925330463312,"score_spread":0.2295623748909507,"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."}}