{"id":"W3208282333","doi":"10.1016/j.landusepol.2021.105820","title":"Integrating support groups, an effective approach to regenerate historic neighborhoods of Iran Case study: Oudlajan Neighborhood, Tehran","year":2021,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Urban regeneration; Focus group; Regeneration (biology); Upstream (networking); Participant observation; Environmental planning; Point (geometry); Business; Regional science; Political science; Geography; Sociology; Engineering; Marketing; Social science","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":[0.001674313,0.0002544694,0.0001417981,0.0008485355,0.007815445,0.001377159,0.001521211,0.0007963974,0.003495376],"category_scores_gemma":[0.001510011,0.0001144721,0.0002232724,0.0007421329,0.001522182,0.0008234956,0.001928251,0.000680914,0.0002356862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003078368,"about_ca_system_score_gemma":0.00825638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02115081,"about_ca_topic_score_gemma":0.0984018,"domain_scores_codex":[0.9992799,0.0003206502,0.0000182326,0.00004301806,0.0001083214,0.0002299772],"domain_scores_gemma":[0.9994779,0.00009162718,0.00005548652,0.00004783232,0.0001162645,0.0002108138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003821303,0.004483948,0.1911921,0.0005470574,0.00008985698,0.01114603,0.3090366,0.002951715,0.004367299,0.06144691,0.02538181,0.3889745],"study_design_scores_gemma":[0.0001127521,0.0009648858,0.09068266,0.0002138928,0.0001438924,0.00130881,0.7961782,0.002636024,0.001478862,0.00601734,0.1002299,0.00003271674],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724009,0.0001309312,0.001081497,0.001521299,0.00004332783,0.0002273379,0.00003536254,0.0000225586,0.02453678],"genre_scores_gemma":[0.9930544,0.00009754549,0.002317209,0.00008306463,0.000009702921,0.00009048211,0.00003005304,0.000003819967,0.004313692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02115081,"threshold_uncertainty_score":0.04205537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04808409663166476,"score_gpt":0.3353904151358509,"score_spread":0.2873063185041862,"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."}}