{"id":"W4307725373","doi":"10.1016/j.cities.2022.104070","title":"Managing the curb – Public space and use of curbside cafes during the Coronavirus pandemic","year":2022,"lang":"en","type":"article","venue":"Cities","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; Social distance; Public space; Coronavirus; Popularity; Space (punctuation); Equity (law); Coronavirus disease 2019 (COVID-19); Public relations; Political science; Business; Economic growth; Economics; Engineering; Law; Medicine; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003658862,0.00008566738,0.0001097326,0.00008070937,0.0003527534,0.00009162198,0.000234255,0.00001139231,0.0000584867],"category_scores_gemma":[0.00005207622,0.00005953949,0.00002934703,0.0001600419,0.0001375268,0.0001264366,0.0002485352,0.0002572269,0.000002855802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008178971,"about_ca_system_score_gemma":0.00001609134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003682164,"about_ca_topic_score_gemma":0.00009956508,"domain_scores_codex":[0.9991474,0.0001215253,0.000133953,0.00009637286,0.0002671168,0.0002336895],"domain_scores_gemma":[0.999276,0.0003708683,0.00002811964,0.0002806262,0.00001953374,0.00002481371],"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":[0.0000351526,0.00001724234,0.8969656,0.0009208258,0.0003851326,0.0000568544,0.01639364,0.05131478,0.0109842,0.009361618,0.006949457,0.00661548],"study_design_scores_gemma":[0.0008471091,0.00006253194,0.4480141,0.0001619765,0.00004451736,0.0006241917,0.03385365,0.03842244,0.003603216,0.001338876,0.4723591,0.0006682606],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941919,0.003843043,0.00003039445,0.0002996069,0.0002432331,0.0001691349,0.0000164686,0.0001149301,0.001091284],"genre_scores_gemma":[0.9977004,0.000247508,0.000007495694,0.00001590903,0.00005846383,0.00007951188,0.000001411481,0.00002476719,0.001864566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4654096,"threshold_uncertainty_score":0.271313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06317809380785185,"score_gpt":0.2604741027285267,"score_spread":0.1972960089206749,"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."}}