{"id":"W2113493524","doi":"10.1016/j.tra.2013.07.009","title":"Curbside parking time limits","year":2013,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Downtown; Parking guidance and information; Homogeneous; Value of time; Transport engineering; Work (physics); Value (mathematics); Business; Economics; Computer science; Travel time; Engineering; Mathematics; Geography","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":[0.002621268,0.0004859864,0.0007200405,0.001561197,0.002151714,0.005299328,0.003540703,0.001946811,0.04863304],"category_scores_gemma":[0.02169977,0.0005708109,0.0006586243,0.001680682,0.001105702,0.004427052,0.003785797,0.00229561,0.007914814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003229323,"about_ca_system_score_gemma":0.005671156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02856892,"about_ca_topic_score_gemma":0.04572577,"domain_scores_codex":[0.9938526,0.001119481,0.0004899126,0.000855674,0.002418235,0.001264119],"domain_scores_gemma":[0.9839124,0.004069684,0.002289344,0.001906397,0.005959292,0.001862905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008759397,0.001110633,0.0901739,0.001282093,0.0001638796,0.001034757,0.009694655,0.02297555,0.005525826,0.3386902,0.1244982,0.4039743],"study_design_scores_gemma":[0.0001135603,0.001246796,0.1339673,0.001688771,0.0001957956,0.005083927,0.02006038,0.03217649,0.01197903,0.1300712,0.6630843,0.0003325548],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.370871,0.004990343,0.04484383,0.007471143,0.001179728,0.000233442,0.002639587,0.002256387,0.5655145],"genre_scores_gemma":[0.9558986,0.0007898951,0.003161268,0.0009975245,0.00007678493,0.000124068,0.0006217721,0.0001740469,0.03815586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04863304,"threshold_uncertainty_score":0.1626937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09077135089568042,"score_gpt":0.3948984399299563,"score_spread":0.3041270890342759,"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."}}