{"id":"W2564640918","doi":"","title":"A Pilot Study of Sprawl Repair Potential in Kingston, Ontario","year":2013,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Geography; Engineering; Civil engineering; Urban planning","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":[0.0008771552,0.0002934332,0.0003638611,0.0009494614,0.004724818,0.001034265,0.001006007,0.0003735902,0.002072469],"category_scores_gemma":[0.002373945,0.0004409115,0.0004087519,0.00187109,0.00155677,0.000517466,0.0009728391,0.0005281657,0.0004196813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02035484,"about_ca_system_score_gemma":0.02523473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9842017,"about_ca_topic_score_gemma":0.9966751,"domain_scores_codex":[0.9990275,0.0001763752,0.00004399136,0.0001137032,0.0002834663,0.0003550842],"domain_scores_gemma":[0.996753,0.0003574285,0.0004401532,0.0001513072,0.00157009,0.0007280076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005699383,0.001201759,0.8848045,0.0001333175,0.00004702388,0.0010049,0.08991222,0.0002794131,0.003571931,0.0003187851,0.001682806,0.01647335],"study_design_scores_gemma":[0.00003112045,0.0004365371,0.9387209,0.00002128962,0.00001482546,0.00006246195,0.05787454,0.0001526312,0.0002142056,0.00003454817,0.00242102,0.00001585938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975166,0.00003592933,0.00008177505,0.00004884948,0.000002732764,0.0001591797,0.0002233011,0.000003254228,0.001928316],"genre_scores_gemma":[0.995822,0.0001066382,0.0003176929,0.00005969642,0.000002703289,0.000164705,0.0002429087,0.000003247166,0.003280471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02035484,"threshold_uncertainty_score":0.1476854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183802212441079,"score_gpt":0.2059479134315363,"score_spread":0.1941098913071255,"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."}}