{"id":"W2115999503","doi":"10.1140/epjb/e2006-00085-1","title":"Topological patterns in street networks of self-organizedurban settlements","year":2006,"lang":"en","type":"article","venue":"The European Physical Journal B","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":305,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Human settlement; Robustness (evolution); Shortest path problem; Computer science; Geography; Inverse; Tree (set theory); Topology (electrical circuits); Economic geography; Mathematics; Theoretical computer science; Combinatorics; Geometry; Graph","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002811661,0.0001053919,0.000207474,0.001884119,0.0004947039,0.001482518,0.000491915,0.0002621566,0.001425114],"category_scores_gemma":[0.002924714,0.0002622351,0.0001882451,0.001974877,0.0008304706,0.001174462,0.0005846756,0.0001416287,0.0001153613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005412883,"about_ca_system_score_gemma":0.0002033973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002606758,"about_ca_topic_score_gemma":0.005353807,"domain_scores_codex":[0.9998009,0.00007060271,0.00001576027,0.00004116429,0.00003130503,0.00004035524],"domain_scores_gemma":[0.998214,0.0007414824,0.0005421951,0.0001216563,0.0002371435,0.0001436214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001072151,0.0001804781,0.3521506,0.0002937895,0.0002028009,0.0008379054,0.005326496,0.2313711,0.01263106,0.3420592,0.002901388,0.05097308],"study_design_scores_gemma":[0.0001097361,0.0001847723,0.261681,0.00007784284,0.0001454361,0.001084346,0.007359646,0.4697564,0.002688109,0.2503628,0.006483259,0.00006666594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924426,0.0001056012,0.00598238,0.00005609284,0.000002697501,0.000006616285,0.0001529292,0.00001501073,0.001235987],"genre_scores_gemma":[0.9984378,0.00006038771,0.001018834,0.000002752655,0.000002875861,0.000006657383,0.0001445701,0.000002931223,0.0003231922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002606758,"threshold_uncertainty_score":0.00518316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006341367833084557,"score_gpt":0.1864571701857198,"score_spread":0.1801158023526353,"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."}}