{"id":"W2990027720","doi":"10.1371/journal.pone.0223078","title":"A global assessment of street-network sprawl","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Oak Ridge National Laboratory; Social Sciences and Humanities Research Council of Canada; University of California, Santa Cruz","keywords":"Urban sprawl; Geography; Biology; Ecology; Land use","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005208874,0.00006849664,0.0002047903,0.00001838655,0.000008015663,0.000007008514,0.0000837708,0.0000352688,0.0003825788],"category_scores_gemma":[0.000003449722,0.00006674841,0.00004942415,0.0001989957,0.00000679685,0.00003249458,0.00001600875,0.0000442333,0.00005046537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004397022,"about_ca_system_score_gemma":0.000009809511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005199791,"about_ca_topic_score_gemma":0.0001169924,"domain_scores_codex":[0.999448,0.00001120366,0.0001333408,0.00007853023,0.0001993295,0.000129597],"domain_scores_gemma":[0.9997278,0.00001658616,0.00002129773,0.0001720513,0.00002514414,0.00003704901],"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":[0.000004813965,0.0003793013,0.9398326,0.0001906674,0.001286534,0.000002531093,0.00001823621,0.04408211,0.01049715,0.001360472,0.001697948,0.000647606],"study_design_scores_gemma":[0.000613996,0.0002050272,0.1921206,0.0002540409,0.0005992108,2.186927e-7,0.00002639513,0.7993749,0.005540286,0.0006365915,0.0002405039,0.0003882282],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800498,0.0001769231,0.002816591,0.00001845318,0.00003959024,0.000102999,0.00001073208,0.0000920809,0.0166928],"genre_scores_gemma":[0.9937618,0.00002530013,0.005850059,0.00001318058,0.00006715304,0.00000414359,0.000005845283,0.000008145115,0.0002644126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7552928,"threshold_uncertainty_score":0.418897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763087827998441,"score_gpt":0.203108320951891,"score_spread":0.1854774426719066,"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."}}