{"id":"W2911386538","doi":"10.1080/02723638.2019.1575154","title":"Urban policy (im)mobilities and refractory policy lessons: experimenting with the sustainability fix","year":2019,"lang":"en","type":"article","venue":"Urban Geography","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Mobilities; Scholarship; Metropolitan area; Sustainability; Urban sustainability; Construct (python library); Corporate governance; Order (exchange); Political science; Politics; Urban policy; Sociology; Urban planning; Environmental planning; Business; Engineering; Social science; Geography; Law; Civil engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004656273,0.0002802032,0.0002343464,0.0001112259,0.0004146445,0.0001147694,0.0003892225,0.00009299056,0.0004888429],"category_scores_gemma":[0.0001611279,0.0001938099,0.0001175305,0.0008261943,0.001324448,0.0004323453,0.0003918491,0.0002385555,0.00003206095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005047409,"about_ca_system_score_gemma":0.00009455597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006713935,"about_ca_topic_score_gemma":0.000237356,"domain_scores_codex":[0.9978894,0.0001386253,0.000214436,0.0006283031,0.0004141862,0.0007150528],"domain_scores_gemma":[0.9986525,0.0001964005,0.000154572,0.0008170856,0.00004307486,0.000136369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000837322,0.000151158,0.9683903,0.0001184491,0.00002620594,0.000003854675,0.02283393,0.00002957811,0.0002067084,0.003457559,0.003274243,0.001424281],"study_design_scores_gemma":[0.0006563465,0.0003809469,0.7457638,0.00003013672,0.00002103454,0.000008448725,0.08713629,0.00003147225,0.0003042719,0.003074908,0.1620998,0.0004925489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800303,0.0009560202,0.000003958921,0.006370949,0.00003922372,0.000718852,0.00001798466,0.00008053132,0.01178216],"genre_scores_gemma":[0.9963529,0.00007805063,0.00003124912,0.000834887,0.0001523543,0.0001187054,0.000004507017,0.00002526001,0.002402156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2226265,"threshold_uncertainty_score":0.9999005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00565576191721276,"score_gpt":0.2326939952282976,"score_spread":0.2270382333110848,"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."}}