{"id":"W4408237102","doi":"10.1016/j.uclim.2025.102361","title":"Impact of jobs-housing balance on neighborhood traffic and air quality","year":2025,"lang":"en","type":"article","venue":"Urban Climate","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China; Foundation of Henan Educational Committee; National Natural Science Foundation of China","keywords":"Balance (ability); Air quality index; Quality (philosophy); Business; Transport engineering; Air traffic control; Environmental science; Environmental economics; Economics; Geography; Engineering; Meteorology; Psychology","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":[0.0005684798,0.0001286004,0.0002398801,0.00003630971,0.0001440192,0.00001354472,0.0001101947,0.00007213383,0.0002753094],"category_scores_gemma":[0.00009609931,0.0001078411,0.00006419077,0.0002081464,0.000149812,0.0001212062,0.00008514821,0.0001311495,0.00006065311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001769557,"about_ca_system_score_gemma":0.00002957166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002556804,"about_ca_topic_score_gemma":0.00006952589,"domain_scores_codex":[0.9987851,0.0001056132,0.0003187849,0.0002429737,0.0001784396,0.0003690673],"domain_scores_gemma":[0.9993222,0.000165628,0.0001247261,0.0002540883,0.000005715843,0.0001276664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001670555,0.0002016622,0.9756693,0.000166655,0.00001603681,0.000001834574,0.0008153791,0.00226542,0.0004642423,0.001837616,0.005573081,0.01282177],"study_design_scores_gemma":[0.000434158,0.0002064367,0.9955374,0.00007878161,0.000008651931,5.569261e-7,0.00006888868,0.002559194,0.0001206577,0.0004126252,0.0004604186,0.000112235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868118,0.00009125906,0.00006954895,0.0007777455,0.00006628623,0.0001516692,0.00003867544,0.00004758025,0.01194547],"genre_scores_gemma":[0.9980733,0.00008372098,0.0001891376,0.001529358,0.00001654239,0.000002534234,0.000003183415,0.000007806278,0.00009436624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01986814,"threshold_uncertainty_score":0.4397632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367996736538593,"score_gpt":0.3555162606873906,"score_spread":0.3218362933220046,"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."}}