{"id":"W4251777670","doi":"10.31219/osf.io/2cp5u","title":"Global trends towards urban street-network sprawl","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Oak Ridge National Laboratory; University of California, Santa Cruz","keywords":"Urban sprawl; Geography; Street network; Urbanization; Economic geography; Regional science; Cartography; Urban planning; Transport engineering; Economic growth","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":[0.0004244393,0.0001836287,0.0001561767,0.00219772,0.0001771529,0.0009111054,0.0001851722,0.0002712772,0.001774579],"category_scores_gemma":[0.002083262,0.0001013143,0.0002492202,0.004399495,0.0004693428,0.001336872,0.000660955,0.0003773829,0.0002667257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003714633,"about_ca_system_score_gemma":0.0002328575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005840382,"about_ca_topic_score_gemma":0.007092992,"domain_scores_codex":[0.9997943,0.0000254588,0.0000184407,0.00008260459,0.0000418184,0.00003735886],"domain_scores_gemma":[0.9981152,0.0003331629,0.0007570579,0.0002098472,0.0004662355,0.0001185374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009879073,0.00002032966,0.9416598,0.0001672624,0.0001197118,0.0001468236,0.001600637,0.003533624,0.001467162,0.004710164,0.003316114,0.04315965],"study_design_scores_gemma":[0.000002966567,0.00004863787,0.9850134,0.00003663768,0.00002772132,0.0002339778,0.0009646137,0.002474991,0.0005945831,0.001362297,0.009226138,0.00001401273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844308,0.0009601222,0.00186788,0.0006190295,0.00002088463,0.00001072637,0.006801274,0.0001218905,0.005167415],"genre_scores_gemma":[0.9940358,0.0004639172,0.0009319102,0.00004886452,0.00002009638,0.000007815765,0.004091833,0.00001560156,0.0003840663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005840382,"threshold_uncertainty_score":0.01161277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447818856275752,"score_gpt":0.254983369005181,"score_spread":0.2405051804424235,"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."}}