{"id":"W6939580868","doi":"10.6084/m9.figshare.26496718","title":"Urban Roadway in America: The Amount, Extent, and Value","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Netting; Land Values; Quarter (Canadian coin); Sample (material); Value (mathematics); Land value; Land use; Range (aeronautics)","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":[0.0005519991,0.0003056207,0.0001454652,0.00140286,0.0002890561,0.001294616,0.0004579701,0.0003549419,0.002344229],"category_scores_gemma":[0.003096712,0.000194069,0.0003896471,0.002855357,0.000379403,0.001500646,0.0007969076,0.0004691086,0.0005561718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527018,"about_ca_system_score_gemma":0.0007192759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03805602,"about_ca_topic_score_gemma":0.07767856,"domain_scores_codex":[0.9996916,0.00007677556,0.00002079063,0.0000770371,0.00007203151,0.00006184937],"domain_scores_gemma":[0.9983407,0.0002808031,0.0004509417,0.0001009517,0.0006806173,0.000145947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002106675,0.00003597494,0.9659473,0.00003594736,0.00005691826,0.00005752728,0.0002325697,0.01067255,0.0001045999,0.004183098,0.004041627,0.01461073],"study_design_scores_gemma":[0.000007860435,0.0000748497,0.9067447,0.000104386,0.00007952709,0.0001684387,0.002390939,0.05435626,0.0004216824,0.006777751,0.02884241,0.00003118332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.967725,0.0004227707,0.005614554,0.0009376809,0.00003147741,0.00008503991,0.01186146,0.00009008495,0.01323185],"genre_scores_gemma":[0.9935426,0.0002049502,0.001722523,0.000032883,0.00001389683,0.00004626702,0.003419927,0.00001216735,0.001004923],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03805602,"threshold_uncertainty_score":0.07566899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406883217804441,"score_gpt":0.2039190177757619,"score_spread":0.1898501855977175,"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."}}