{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006430332,0.0001588319,0.0001765996,0.0007462772,0.0001756452,0.0009980282,0.0002597093,0.0002496913,0.002623481],"category_scores_gemma":[0.005267287,0.0001356273,0.0002937664,0.0008809718,0.0004792507,0.0008418878,0.0007275278,0.0004241895,0.0001370284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004203402,"about_ca_system_score_gemma":0.0002038953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009315561,"about_ca_topic_score_gemma":0.00837509,"domain_scores_codex":[0.9996081,0.0002167548,0.00001693949,0.0000623208,0.00005539133,0.0000405718],"domain_scores_gemma":[0.9951159,0.003073942,0.0009933801,0.0002043947,0.0002996016,0.0003127368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007498404,0.0001414383,0.9739556,0.00003900054,0.0001460926,0.0001177627,0.001130969,0.006530237,0.0005345765,0.004508748,0.0002394179,0.01258117],"study_design_scores_gemma":[0.000002517722,0.0001023011,0.9770342,0.00001856177,0.00004071237,0.00007085299,0.002214536,0.01474678,0.0001678501,0.004901873,0.0006888967,0.00001094648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959954,0.0001082726,0.001417741,0.00008797694,0.000001677804,0.000005783471,0.000100633,0.000003896126,0.002278645],"genre_scores_gemma":[0.9996165,0.00002257056,0.0002408778,0.000003266641,0.000001436709,0.000001969464,0.00003028671,5.710103e-7,0.00008243795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009315561,"threshold_uncertainty_score":0.01852268,"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."}}