{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003271464,0.0003206495,0.0005798918,0.0001327101,0.0003031396,0.00002003124,0.0004622785,0.0002369201,0.0000780558],"category_scores_gemma":[0.0001604487,0.0002115894,0.0001430612,0.0002659718,0.002076247,0.00004379491,0.0001504604,0.0002485158,0.0001356825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006746277,"about_ca_system_score_gemma":0.0002917881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005544491,"about_ca_topic_score_gemma":0.0007116359,"domain_scores_codex":[0.9982335,0.0001653364,0.0002617103,0.0003676923,0.000572528,0.000399225],"domain_scores_gemma":[0.9986377,0.0004104702,0.0004497206,0.0003482256,0.00007559622,0.00007833551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001475369,0.00003352309,0.001757755,0.00009830711,0.0002397541,0.000002860642,0.01318608,0.000001360061,2.570814e-7,0.01085042,0.9731106,0.0007043812],"study_design_scores_gemma":[0.0002072624,0.00006384229,0.0001902555,0.0006758148,0.00007698049,0.00000111258,0.002765103,9.602707e-7,3.269921e-7,0.0004519779,0.9953015,0.0002648481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001730072,0.283665,4.339679e-7,0.00151283,0.0005041845,0.0004272781,0.00007492913,0.00007681762,0.7135655],"genre_scores_gemma":[0.0006227153,0.3289384,0.00001544492,0.0002353938,0.001934367,0.00002557199,0.000006593328,0.00008518342,0.6681364],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04542911,"threshold_uncertainty_score":0.8628367,"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."}}