{"id":"W7105797519","doi":"10.60918/16682","title":"Public transit improvement and property values : a canadian case study","year":2006,"lang":"","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Service (business); Public transport; Externality; Transit (satellite); Property value; Estimation; Unit (ring theory)","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":[0.0006995831,0.0004329683,0.0003531579,0.001826922,0.004574789,0.001576936,0.001138577,0.0009879749,0.004463985],"category_scores_gemma":[0.002297476,0.0001811219,0.0005431921,0.006226091,0.001274096,0.0005823219,0.0006895731,0.0007365601,0.0002344322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04123233,"about_ca_system_score_gemma":0.02022783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.98682,"about_ca_topic_score_gemma":0.9929578,"domain_scores_codex":[0.9991554,0.0001396086,0.00001655902,0.00006001873,0.0002461782,0.0003822778],"domain_scores_gemma":[0.9983723,0.000385645,0.0001397643,0.00009480455,0.0006581575,0.0003494012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001105877,0.003578386,0.6774516,0.0005001232,0.0002162305,0.02554016,0.01911324,0.03626413,0.002267431,0.0504094,0.03668577,0.1468677],"study_design_scores_gemma":[0.0002260031,0.0009706205,0.7773771,0.0002588244,0.0002254389,0.004683927,0.07366788,0.04532888,0.001370661,0.002651486,0.09303555,0.0002036632],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689822,0.000599303,0.0003970133,0.0008654169,0.000008660385,0.0001351636,0.001370684,0.00001920885,0.02762233],"genre_scores_gemma":[0.990456,0.0008482162,0.0008356625,0.00005866102,0.000005775545,0.00003056094,0.0005148777,0.00000700453,0.007243242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04123233,"threshold_uncertainty_score":0.2991629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367298468627596,"score_gpt":0.1941845982198883,"score_spread":0.1505116135336123,"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."}}