{"id":"W2076632875","doi":"10.1068/b130131p","title":"Road network circuity in metropolitan areas","year":2015,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Metropolitan area; TRIPS architecture; Geography; Function (biology); Transport engineering; Economic geography; Business; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004398404,0.0001882076,0.0002499385,0.0001087498,0.0001101969,0.00004424844,0.00006027978,0.00009421317,0.0000145737],"category_scores_gemma":[0.00001936243,0.0001812627,0.00002238729,0.0001006814,0.00004529375,0.00009356369,0.00003189502,0.0001772933,0.000007456686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007916427,"about_ca_system_score_gemma":0.000008085023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000089599,"about_ca_topic_score_gemma":0.000001297264,"domain_scores_codex":[0.9990651,0.00006959186,0.000190264,0.0002131144,0.0001480455,0.0003138541],"domain_scores_gemma":[0.9995835,0.00007876122,0.00002707239,0.0001107088,0.00000305627,0.000196937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005015574,0.00002000835,0.3738425,0.00001464543,0.00007667767,0.0001127226,0.00241482,0.6090402,0.0001401976,0.0000884223,0.01131242,0.002887187],"study_design_scores_gemma":[0.001971709,0.0004837033,0.2374033,0.0002697468,0.0001642371,0.00004809949,0.002202633,0.7399533,0.0002345172,0.003172199,0.0128338,0.001262803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7905097,0.02743236,0.1737928,0.00005323697,0.0002116308,0.0002365095,0.000005777987,0.000245749,0.007512243],"genre_scores_gemma":[0.997116,0.00008517899,0.002330059,0.00003838606,0.0001364361,0.000009578689,0.00001361774,0.0000187281,0.0002520134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2066063,"threshold_uncertainty_score":0.739168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04062989738691274,"score_gpt":0.21431616362787,"score_spread":0.1736862662409572,"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."}}