{"id":"W2937646357","doi":"10.1002/9781118568446.eurs0380","title":"Urban Mobile Policy","year":2019,"lang":"en","type":"other","venue":"The Wiley Blackwell Encyclopedia of Urban and Regional Studies","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mobilities; Situated; Perspective (graphical); Globalization; Urban policy; Regional science; Work (physics); Sociology; Policy transfer; Economic geography; Research policy; Political science; Geography; Social science; Public administration; Computer science; Urban planning; Engineering; Civil engineering","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":[0.0006454103,0.0002856364,0.0001714837,0.001205612,0.001798849,0.005516312,0.0005194727,0.00195338,0.08183686],"category_scores_gemma":[0.001798859,0.0001128045,0.0001608725,0.002272676,0.001406688,0.002640689,0.002696849,0.001369116,0.01091022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004585398,"about_ca_system_score_gemma":0.002730188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006436992,"about_ca_topic_score_gemma":0.007767391,"domain_scores_codex":[0.9992429,0.0002595019,0.00002171277,0.0001057363,0.0001888889,0.0001812932],"domain_scores_gemma":[0.9995988,0.0001404523,0.00003060547,0.00005457753,0.00009379566,0.00008182594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004925905,0.000005338968,0.0001210727,0.00003913864,7.775428e-7,0.00002837069,0.0003459729,0.0002000867,0.00004350121,0.9290887,0.05319934,0.01692287],"study_design_scores_gemma":[0.000001949422,0.000004684152,0.0002917763,0.0001649635,8.813792e-7,0.00002928961,0.0006624039,0.0002201416,0.0000592311,0.02697194,0.9715899,0.000002819929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003844574,0.003372637,0.001744811,0.0208905,0.0004590529,0.00003745735,0.0005010183,0.00007374689,0.9690762],"genre_scores_gemma":[0.2251759,0.008751532,0.001534249,0.005814869,0.0007678684,0.000204006,0.0009310455,0.0001221568,0.7566984],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08183686,"threshold_uncertainty_score":0.2737715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202158412579082,"score_gpt":0.2946517584283279,"score_spread":0.2726301743025371,"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."}}