{"id":"W1577898482","doi":"","title":"MULTI'CRITERIA EXPERT BASED ANALYSIS FOR RANKING THE URBAN GENTRIFICATION DRIVERS IN DEVELOPING COUNTIRES","year":2008,"lang":"en","type":"article","venue":"","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gentrification; Phenomenon; Economic geography; Ranking (information retrieval); Sociology; Excellence; Process (computing); Rank (graph theory); Regional science; Geography; Political science; Economic growth; Computer science; Economics; Law; Mathematics; Epistemology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000149208,0.0001102819,0.0001856237,0.0002788137,0.0001025616,0.00002968044,0.0001416937,0.00004651628,0.00009031423],"category_scores_gemma":[0.00002078466,0.00008394426,0.0001416138,0.0007809022,0.00002441743,0.00008138179,0.000005394311,0.00004328309,0.000005403567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001124972,"about_ca_system_score_gemma":0.00001926944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002803629,"about_ca_topic_score_gemma":0.000671674,"domain_scores_codex":[0.999307,0.00002705472,0.0002257011,0.0001493028,0.0001167416,0.0001742062],"domain_scores_gemma":[0.9996434,0.0000904862,0.00002434125,0.0001702353,0.00004680552,0.00002468399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009429632,0.0001478858,0.4271475,0.0001049293,0.003017771,0.00002460467,0.01543139,0.4525537,0.06969664,0.0005894536,0.02511232,0.006079523],"study_design_scores_gemma":[0.0003576204,0.000003358237,0.03001108,0.000005060287,0.00008152449,2.206286e-7,0.00008471005,0.9603831,0.003879555,0.000002757735,0.005051483,0.0001395356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1004359,0.0001968238,0.898699,0.000207009,0.00005369245,0.0001815248,0.000003159782,0.0001099867,0.0001127779],"genre_scores_gemma":[0.9730831,0.00007502125,0.02626394,0.0001970871,0.00003597932,0.00006192625,0.00003634889,0.00001336051,0.0002331932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8726472,"threshold_uncertainty_score":0.3423147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04151162479295853,"score_gpt":0.2434981579144147,"score_spread":0.2019865331214562,"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."}}