{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006638688,0.001057591,0.0009663675,0.01452211,0.001464136,0.003481222,0.0009735387,0.001019261,0.007641305],"category_scores_gemma":[0.01000285,0.0003203648,0.001644616,0.006113129,0.0005886728,0.001349295,0.001692558,0.0008178903,0.000562847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002607124,"about_ca_system_score_gemma":0.002344202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01272265,"about_ca_topic_score_gemma":0.0219523,"domain_scores_codex":[0.9960821,0.001802338,0.0003325213,0.0003608778,0.001125171,0.0002970446],"domain_scores_gemma":[0.9942461,0.003636257,0.0003998314,0.0001299975,0.001304028,0.0002839686],"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":[0.00247704,0.001433235,0.2793586,0.002797853,0.001807988,0.002406765,0.009788404,0.1752692,0.00762068,0.02614122,0.01413249,0.4767664],"study_design_scores_gemma":[0.00012079,0.00079323,0.1150362,0.000446033,0.0005855195,0.0003258295,0.02114107,0.8235763,0.003425494,0.02298351,0.01138186,0.0001841293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7682087,0.0009682468,0.187664,0.0009403146,0.0000850593,0.002326616,0.004313583,0.0003799017,0.03511348],"genre_scores_gemma":[0.8820824,0.0002258977,0.1125475,0.00004564997,0.0000190421,0.0005358453,0.001515007,0.00002085039,0.003007883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01452211,"threshold_uncertainty_score":0.03510916,"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."}}