{"id":"W7128056979","doi":"10.31039/plic.2024.12.269","title":"Urban evolution: streamlining development for convenience and affordability","year":2024,"lang":"","type":"article","venue":"Proceedings of London International Conferences","topic":"Urban Planning and Landscape Design","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Inefficiency; Land use; Urban planning; Work (physics); Urbanization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007793491,0.0002534819,0.0002651462,0.000146548,0.0001730981,0.0003281233,0.0004074026,0.0001148506,0.0006692121],"category_scores_gemma":[0.0001743861,0.0002289789,0.00007789701,0.0001791261,0.0004560164,0.0006281034,0.0001668411,0.0001741458,0.00002423797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000169759,"about_ca_system_score_gemma":0.000197637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006609851,"about_ca_topic_score_gemma":0.000009141178,"domain_scores_codex":[0.9978983,0.000005656475,0.0005851758,0.0006756944,0.0005414597,0.0002936444],"domain_scores_gemma":[0.9991463,0.0002639881,0.0002144945,0.0000490942,0.0001990208,0.0001270403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002770995,0.0001451129,0.8685536,0.000790125,0.0002514214,0.000002163758,0.006374103,0.000005318216,0.003611921,0.05992063,0.02324161,0.03682693],"study_design_scores_gemma":[0.001896174,0.001642695,0.4220727,0.003953855,0.0002916932,0.0001094309,0.00819469,0.1123947,0.04190675,0.007867446,0.3979663,0.001703642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738921,0.002569782,0.00259967,0.0007833731,0.00127735,0.0005746437,0.0001739184,0.00008729822,0.0180419],"genre_scores_gemma":[0.994543,0.0001007347,0.002991753,0.00001922523,0.0001406933,0.00006353387,0.00001400068,0.00001251301,0.002114527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4464809,"threshold_uncertainty_score":0.933749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253864905666792,"score_gpt":0.2547537282945619,"score_spread":0.232215079237894,"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."}}