{"id":"W2975102990","doi":"10.3390/su11195307","title":"The Evolution and Growth Patterns of the Road Network in a Medium-Sized Developing City: A Historical Investigation of Changchun, China, from 1912 to 2017","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Scholarship Council; University of Toronto; University of Illinois at Urbana-Champaign; National Natural Science Foundation of China","keywords":"China; Network science; Geography; Computer science; Economic geography; Transport engineering; Complex network; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002800654,0.0002541639,0.000122508,0.003301864,0.0006937962,0.0005633195,0.0003764772,0.0001970343,0.0007858381],"category_scores_gemma":[0.000552002,0.0001545258,0.0002029546,0.004703329,0.0006213653,0.0007031967,0.0006758403,0.0002792359,0.00007865368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003576212,"about_ca_system_score_gemma":0.001139254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1953549,"about_ca_topic_score_gemma":0.3887421,"domain_scores_codex":[0.9998456,0.00001461091,0.000012052,0.00005259979,0.00002957004,0.0000455688],"domain_scores_gemma":[0.9995903,0.00006365062,0.0001027188,0.00003133219,0.0001313398,0.00008069261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004518839,0.00003446923,0.9594707,0.0001169518,0.00006165926,0.001137763,0.004128627,0.003360579,0.001323189,0.002457859,0.001651551,0.02621159],"study_design_scores_gemma":[7.459001e-7,0.00001575514,0.9929137,0.00001553347,0.00001772992,0.0001371793,0.001661389,0.001746069,0.0002234462,0.0001136064,0.003141791,0.00001310574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964854,0.0003584614,0.0003236448,0.00009154435,0.000007057998,0.00001300702,0.0008883761,0.00001164007,0.001820879],"genre_scores_gemma":[0.9981006,0.0002703198,0.0002281987,0.00001171158,0.000004558022,0.000007808301,0.0008181274,0.000003406912,0.0005552694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1953549,"threshold_uncertainty_score":0.3884356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007409214532839921,"score_gpt":0.1930138335925365,"score_spread":0.1856046190596966,"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."}}