{"id":"W56576167","doi":"10.3138/cjpe.017.003","title":"Evaluation and Municipal Urban Planning: Practice and Prospects","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Government (linguistics); Urban planning; Local government; Scale (ratio); Environmental planning; Evaluation methods; Comprehensive planning; Public administration; Process management; Management science; Business; Environmental resource management; Political science; Geography; Engineering; Economics; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03060637,0.0001231313,0.0001998102,0.0005718962,0.0002937187,0.0006621281,0.0002098053,0.00008070521,0.00150348],"category_scores_gemma":[0.01326364,0.00009852379,0.00004244922,0.0005286442,0.0001234797,0.001353248,0.00001540397,0.0002253221,0.00002842157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883704,"about_ca_system_score_gemma":0.001247654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001747752,"about_ca_topic_score_gemma":0.001910298,"domain_scores_codex":[0.9944106,0.001043996,0.0007290381,0.0002379582,0.003335337,0.0002430479],"domain_scores_gemma":[0.9936444,0.0004465713,0.0007361085,0.0002290261,0.004446249,0.0004976896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001473712,0.00004861222,0.03453352,0.0000039248,0.00004104522,0.000008731161,0.009659731,0.0009590867,0.00001630462,0.0004442977,0.005266649,0.9490033],"study_design_scores_gemma":[0.002162882,0.001076127,0.1054927,0.00007714018,0.0004473471,0.0003257114,0.005060625,0.7262611,0.00002239007,0.007008261,0.1518498,0.000215947],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594935,0.01354986,0.0001663078,0.006985686,0.0007053656,0.002035456,0.000003661021,0.00001210049,0.01704811],"genre_scores_gemma":[0.9965228,0.00005484248,0.002762925,0.0002600233,0.0001814035,0.00005704878,0.000003397799,0.000008620876,0.0001488676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9487874,"threshold_uncertainty_score":0.9994093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4565580453517729,"score_gpt":0.5429851099364679,"score_spread":0.08642706458469496,"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."}}