{"id":"W2169233080","doi":"","title":"Understanding Relationships Between Regional Accessibility, Travel Behavior and Home Values","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Neighbourhood (mathematics); Travel behavior; Sample (material); Land use; Regression analysis; Transport engineering; Business; Property value; Space (punctuation); Geography; Econometrics; Computer science; Economics; Statistics; Real estate; Mathematics; Civil engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.02071617,0.0005097418,0.000709707,0.001591576,0.006017447,0.0006942598,0.001268561,0.0009364811,0.000868841],"category_scores_gemma":[0.001041333,0.0005374138,0.0002915856,0.003235551,0.005347571,0.002559892,0.00002472166,0.005402599,0.00006404994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004059993,"about_ca_system_score_gemma":0.001468461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01949209,"about_ca_topic_score_gemma":0.135344,"domain_scores_codex":[0.9853781,0.002595314,0.001603582,0.001789324,0.006299511,0.002334096],"domain_scores_gemma":[0.9903657,0.003685924,0.000307984,0.0007902508,0.003182785,0.001667393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002855711,0.0002797541,0.9375435,0.000185628,0.00005331655,0.00005838693,0.0291642,0.000005212926,0.001188248,0.02923628,0.001071659,0.0009282164],"study_design_scores_gemma":[0.001120887,0.0001746755,0.9238459,0.0001110616,0.00008467739,1.638931e-7,0.04046978,0.00001360398,0.0002657329,0.03030535,0.003065058,0.0005430978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869897,0.0001330801,0.0009896025,0.004179245,0.0003288508,0.002571435,0.0005224332,0.0003396329,0.003946053],"genre_scores_gemma":[0.9946547,0.0002612991,0.001753797,0.00003658233,0.0007332079,0.0004618348,0.0006359406,0.0001002113,0.00136247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1158519,"threshold_uncertainty_score":0.9997078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3019872184594022,"score_gpt":0.4505641490147946,"score_spread":0.1485769305553924,"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."}}