{"id":"W7054678372","doi":"","title":"Beauty in Affluence: A Study of Urban Planning","year":2025,"lang":"en","type":"article","venue":"JMU Scholoraly Commons (James Madison University)","topic":"Advanced Frequency and Time Standards","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beauty; Urban planning; Work (physics); Urban design; Placemaking; Plan (archaeology); Inequality","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":[0.0001173245,0.0001596717,0.0003076838,0.0005337882,0.0001511768,0.00002043764,0.0003844777,0.00004980654,0.00009524555],"category_scores_gemma":[0.000008885376,0.0001783605,0.00008046543,0.001236498,0.00009822277,0.0003411362,0.0001396917,0.0003625156,0.000004393681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009018399,"about_ca_system_score_gemma":0.00009442656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003726527,"about_ca_topic_score_gemma":0.00006089332,"domain_scores_codex":[0.9990109,0.000109714,0.0002076788,0.0002824858,0.0001259683,0.0002632651],"domain_scores_gemma":[0.9993558,0.00006555231,0.0001131919,0.0003492043,0.00005874311,0.00005752125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001229748,0.0006317789,0.9604122,0.000008613056,0.00008502293,0.00003539123,0.001874531,0.001124423,0.00004300292,0.03042498,0.001285552,0.003951532],"study_design_scores_gemma":[0.01586519,0.001339454,0.5301806,0.0007751721,0.0004021667,9.671846e-7,0.1300724,0.0005891478,0.001214403,0.01574922,0.3023918,0.001419451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8434753,0.00008862724,0.001450861,0.00007585856,0.00009370571,0.0002626106,0.00004420548,0.00003094644,0.1544778],"genre_scores_gemma":[0.9968274,0.000001299454,0.000195805,0.00001190903,0.00003997999,0.000001983136,0.00001034773,0.000007269182,0.002904057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4302316,"threshold_uncertainty_score":0.727333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009997515376819574,"score_gpt":0.2700618160696365,"score_spread":0.2600643006928169,"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."}}