{"id":"W2197912983","doi":"10.2139/ssrn.1603823","title":"Neighbourhood Environmental Improvement Plans: Community Empowerment, Voluntary Collaboration and Legislative Design","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Asian Industrial and Economic Development","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; University of Toronto","funders":"","keywords":"Neighbourhood (mathematics); Legislature; Empowerment; Turnover; Environmental planning; Business; Environmental resource management; Public administration; Political science; Geography; Economic growth; Management; Environmental science; Economics","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":[0.03975663,0.0003387686,0.0003982025,0.001441897,0.006904149,0.006848797,0.002751809,0.00244176,0.01188494],"category_scores_gemma":[0.04681639,0.0005128204,0.0004409855,0.00117802,0.005336815,0.005681795,0.007406971,0.001825038,0.0004419599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004921095,"about_ca_system_score_gemma":0.01691862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003712424,"about_ca_topic_score_gemma":0.01346957,"domain_scores_codex":[0.9605969,0.033967,0.000610763,0.001023432,0.002323002,0.001478896],"domain_scores_gemma":[0.9638091,0.02738406,0.001864566,0.002350149,0.002216038,0.002376126],"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":[0.0003413843,0.002531044,0.01913823,0.000783429,0.0001044005,0.0002085539,0.05730346,0.00734635,0.0008824228,0.5714669,0.01443809,0.3254558],"study_design_scores_gemma":[0.0005967033,0.0018678,0.0284665,0.001408781,0.0002371837,0.0003177063,0.1360377,0.03089307,0.003525924,0.5903745,0.206104,0.0001702564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3860199,0.0009303716,0.1796713,0.04533384,0.0004864934,0.003399202,0.0001624388,0.0005026115,0.3834939],"genre_scores_gemma":[0.9629241,0.0001270032,0.02735906,0.0006373543,0.00003116217,0.001366198,0.00005719627,0.00004733884,0.007450681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03975663,"threshold_uncertainty_score":0.2102557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169279592221909,"score_gpt":0.2597571311533946,"score_spread":0.2428291719312037,"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."}}