{"id":"W2758668480","doi":"10.3390/ijgi6100295","title":"Comparative Analysis on Topological Structures of Urban Street Networks","year":2017,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Betweenness centrality; Centrality; Closeness; Complex network; Urbanization; Topology (electrical circuits); Economic geography; Development (topology); Network science; Geography; Representation (politics); Computer science; Complex system; Regional science; Mathematics; Artificial intelligence; Political science; Economic growth; Combinatorics; Economics","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":[0.0001771663,0.0001127729,0.0003262999,0.0004742917,0.00007739655,0.000152414,0.0005501373,0.00007561058,0.0001798415],"category_scores_gemma":[0.00007574547,0.00008811242,0.0002626246,0.0001009344,0.00005856054,0.001136743,0.00003019313,0.0001925203,0.000007252532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007544773,"about_ca_system_score_gemma":0.00001440673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006621656,"about_ca_topic_score_gemma":0.00004438635,"domain_scores_codex":[0.9987594,0.00002222096,0.0006043544,0.00004030233,0.0004746801,0.00009896416],"domain_scores_gemma":[0.99858,0.0000533956,0.0006636732,0.0001625642,0.0004820595,0.00005830055],"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":[0.0002053055,0.00003264703,0.02299404,0.000007824512,0.003730483,0.00000762627,0.000905142,0.9490952,0.00006928421,0.006923856,0.005301081,0.01072743],"study_design_scores_gemma":[0.001142901,0.0002853047,0.2868696,0.00005459605,0.0006647538,0.00001148164,0.0004867074,0.7006957,0.002569108,0.001140984,0.005792749,0.0002861705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6835588,0.0001371906,0.3037146,0.0003322628,0.00171341,0.0001070415,0.00008911114,0.00003550042,0.01031211],"genre_scores_gemma":[0.9990972,0.00005101527,0.00055034,0.00005719943,0.0001934355,8.222859e-7,0.00003175047,0.000002181737,0.00001600298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3155385,"threshold_uncertainty_score":0.359312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290026618493703,"score_gpt":0.2629026498101645,"score_spread":0.2500023836252275,"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."}}