{"id":"W4413739930","doi":"10.1016/j.jtrangeo.2025.104394","title":"Place-based neighbourhood planning approaches to net zero transport","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Australian Research Council","keywords":"Neighbourhood (mathematics); Transport engineering; Net (polyhedron); Zero (linguistics); Computer science; Geography; Business; Engineering; Mathematics; Geometry; Mathematical analysis","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"],"consensus_categories":[],"category_scores_codex":[0.001682002,0.0002937564,0.0006344126,0.000927182,0.000470283,0.00005734169,0.0008362138,0.0002332633,0.0002260357],"category_scores_gemma":[0.00001928279,0.0002665433,0.0008616765,0.001749315,0.0003004253,0.0004797546,0.000004233648,0.0005374756,0.000002401123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005989058,"about_ca_system_score_gemma":0.000739206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005382388,"about_ca_topic_score_gemma":0.0009747148,"domain_scores_codex":[0.9969919,0.00009741565,0.001067023,0.0003658418,0.0008570538,0.000620747],"domain_scores_gemma":[0.998613,0.0001127918,0.000343268,0.0002845251,0.0001979522,0.0004484388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004793571,0.0003428144,0.9905386,0.00007704974,0.0001633208,0.00009862601,0.002903857,0.002703632,0.00002812502,0.0006179958,0.0003000719,0.00174655],"study_design_scores_gemma":[0.0011113,0.0001418644,0.9643245,0.0002833019,0.0002999023,8.293005e-7,0.0007576878,0.00001067398,0.0002142097,0.001506,0.03105549,0.0002942138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448242,0.0009432816,0.03437711,0.003606935,0.0007926546,0.0004220124,0.00003803751,0.0000848479,0.01491091],"genre_scores_gemma":[0.9964159,0.00002685866,0.002384643,0.0007113043,0.0002242916,0.00001083355,0.00001802365,0.00001966679,0.0001885513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05159161,"threshold_uncertainty_score":0.9999787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04802264426619846,"score_gpt":0.2837729430777248,"score_spread":0.2357502988115263,"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."}}