{"id":"W2024832837","doi":"10.3828/tpr.2011.28","title":"Viewpoint: The planning research agenda: after the 'Great Recession' <i>Recalibrating the applications of economic analysis in urban policy</i>","year":2011,"lang":"en","type":"article","venue":"Town Planning Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Recession; Great recession; Political science; Economics; Urban policy; Public economics; Urban planning; Keynesian economics; 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":[0.01799454,0.0007447947,0.001035045,0.002073825,0.00856771,0.01718759,0.004147023,0.01729547,0.01751023],"category_scores_gemma":[0.01891546,0.0005707869,0.001211126,0.005183387,0.02095795,0.01826509,0.00665453,0.02269815,0.001986021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01968645,"about_ca_system_score_gemma":0.06292375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04953837,"about_ca_topic_score_gemma":0.05682259,"domain_scores_codex":[0.9895169,0.006299858,0.0002788443,0.000845623,0.001702547,0.001356218],"domain_scores_gemma":[0.9825903,0.01099606,0.0009163399,0.0006158343,0.003296902,0.001584591],"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":[0.00002808017,0.00004195496,0.0003408015,0.0006089236,0.00001076877,0.0002117464,0.001942217,0.001223716,0.00009773221,0.7693304,0.1936146,0.03254904],"study_design_scores_gemma":[0.00001761231,0.0000359651,0.0006427435,0.001460045,0.00001311932,0.0001367838,0.007832767,0.0005704065,0.0001485983,0.2521244,0.7369841,0.00003344933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006958642,0.0185155,0.002663075,0.9482447,0.004102443,0.00002904838,0.00007572316,0.00002820524,0.02564536],"genre_scores_gemma":[0.136195,0.1341301,0.02246612,0.6374915,0.01219204,0.0004709458,0.0004004817,0.0002115391,0.05644227],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04953837,"threshold_uncertainty_score":0.1428359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1314168919321599,"score_gpt":0.3392667680364621,"score_spread":0.2078498761043022,"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."}}