{"id":"W2016298288","doi":"10.1007/s00168-009-0310-y","title":"An empirical analysis of household choices on housing and travel mode in Boston","year":2009,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Elevator; Mode (computer interface); Wright; Mode choice; Estimation; Logistic regression; Travel behavior; Demographic economics; Economics; Econometrics; Transport engineering; Engineering; Computer science; Statistics; Mathematics; Public transport; Management","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":[],"consensus_categories":[],"category_scores_codex":[0.001337665,0.00007594671,0.000310232,0.0005734617,0.00008282151,0.0000356504,0.0003530642,0.00003553785,0.000005004496],"category_scores_gemma":[0.00004710292,0.00006541973,0.00007170669,0.0009891583,0.0003764866,0.0002785423,0.00002016183,0.00006817236,0.000001291503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001822243,"about_ca_system_score_gemma":0.00002736953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003267424,"about_ca_topic_score_gemma":0.0001058736,"domain_scores_codex":[0.9991167,0.00001333291,0.0003405639,0.0002676408,0.00006417713,0.0001976119],"domain_scores_gemma":[0.99933,0.00006885,0.0002510197,0.000266099,0.00002381932,0.00006020572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004278353,0.0009892411,0.6482726,0.0000232786,0.0001445375,0.000003369764,0.005650045,0.1122449,0.002875532,0.1983784,0.0003796833,0.03061057],"study_design_scores_gemma":[0.0001128881,0.0001428512,0.9136833,0.0000125894,0.000009264752,5.653101e-7,0.00006962517,0.06785297,0.0004826877,0.01729496,0.0002300245,0.0001082753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929326,0.0001431914,0.0001022052,0.002145112,0.00002026561,0.00004409383,0.00001638291,0.00000463331,0.004591567],"genre_scores_gemma":[0.9984885,0.0004941136,0.0001354862,0.000849791,0.00001701169,5.789328e-7,0.00000157026,0.000003394909,0.000009564193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2654107,"threshold_uncertainty_score":0.2667739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1913205008285663,"score_gpt":0.3515749438171467,"score_spread":0.1602544429885804,"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."}}