{"id":"W2999077428","doi":"10.31235/osf.io/qj3p5","title":"Urban Spatial Order: Street Network Orientation, Configuration, and Entropy","year":2018,"lang":"en","type":"article","venue":"","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Street network; Social connectedness; Entropy (arrow of time); Order and disorder; Grid; Computer science; Geography; Economic geography; Cartography; Transport engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004381709,0.0002341465,0.0002382235,0.00427538,0.0004913648,0.001657425,0.0002070505,0.0001733399,0.002188297],"category_scores_gemma":[0.003769104,0.0001751473,0.000293433,0.005961809,0.001054042,0.001797462,0.001027511,0.0002776077,0.0002252896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226687,"about_ca_system_score_gemma":0.0006723621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01537482,"about_ca_topic_score_gemma":0.02941767,"domain_scores_codex":[0.9995408,0.000105301,0.00003712078,0.0000822795,0.0001759098,0.00005864598],"domain_scores_gemma":[0.9981132,0.0006032756,0.0005729746,0.0002203609,0.0003345634,0.0001555817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001478772,0.00005979196,0.8397497,0.0001521872,0.0001538216,0.0001830119,0.002953888,0.03609606,0.002140989,0.05417314,0.004438026,0.05975154],"study_design_scores_gemma":[0.00001373633,0.00004862988,0.8655999,0.00006484062,0.00005799591,0.0003459339,0.004849526,0.07309622,0.002084558,0.04007098,0.01370555,0.00006214746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435113,0.0002810908,0.02646458,0.0003074164,0.0000208591,0.00006453748,0.003953754,0.0001779235,0.02521852],"genre_scores_gemma":[0.9933624,0.0001114649,0.004518764,0.00001036665,0.000008182197,0.0000232972,0.001339967,0.00002209846,0.0006034379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01537482,"threshold_uncertainty_score":0.03057063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005324713715355117,"score_gpt":0.186802496235314,"score_spread":0.1814777825199589,"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."}}