{"id":"W2143769402","doi":"","title":"CONTEXT AND PROSPECTS FOR INTEGRATED URBAN MODELS FOR METROPOLITAN POLICY ANALYSIS AND PLANNING IN DEVELOPING COUNTRIES: THE CASE OF METRO MANILA","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Metropolitan area; Context (archaeology); Developing country; Urban planning; Sustainable development; Environmental planning; Regional science; Business; Transportation planning; Land use; Transport engineering; Policy analysis; Perspective (graphical); Economic growth; Political science; Economics; Engineering; Computer science; Public administration; Geography; Civil engineering","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":[0.004615946,0.0005749135,0.000559764,0.001094103,0.001869976,0.004481287,0.001703446,0.001607636,0.005639079],"category_scores_gemma":[0.006506523,0.0005323463,0.0008476417,0.001870648,0.00319889,0.003250515,0.003765759,0.002347919,0.0002844195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005289968,"about_ca_system_score_gemma":0.005034675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03279791,"about_ca_topic_score_gemma":0.03878039,"domain_scores_codex":[0.9974964,0.002039289,0.00005719083,0.0001019428,0.0001159904,0.0001891342],"domain_scores_gemma":[0.9963189,0.002640993,0.000261195,0.0002286232,0.0003254924,0.0002246901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003122094,0.0001369217,0.003148138,0.0001095393,0.00002999824,0.0002587328,0.001089296,0.2536676,0.00009387284,0.731289,0.001650214,0.008495437],"study_design_scores_gemma":[0.0000359898,0.00007391287,0.001500609,0.0003877473,0.00004278638,0.000125988,0.005332858,0.6619508,0.0002049366,0.2990305,0.03126803,0.00004589425],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3395669,0.003684522,0.4000214,0.03657984,0.0003054997,0.0006229577,0.0009313356,0.0003408726,0.2179467],"genre_scores_gemma":[0.923468,0.001535744,0.07038964,0.0002883849,0.00005500958,0.0003952102,0.000198526,0.00003677605,0.003632584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03279791,"threshold_uncertainty_score":0.06521398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06011951144905273,"score_gpt":0.3567016959388283,"score_spread":0.2965821844897756,"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."}}