{"id":"W4387057848","doi":"10.2139/ssrn.4583653","title":"Methodologyto Identify High-Priority Interventions for Sustainable Urban Regeneration in Informal Settlements in Lmics: A Case Study in Lima","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Psychological intervention; Human settlement; Disconnection; Environmental planning; Metropolitan area; Socioeconomic status; Population; Business; Disadvantage; Regeneration (biology); Resource (disambiguation); Geography; Environmental resource management; Toolbox; Informal settlements; Sustainable development; Economic growth; Environmental health; Computer science; Medicine; Economics; Political 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":[0.004647355,0.001365298,0.0007159618,0.004333415,0.003549378,0.002723389,0.002980112,0.00273812,0.02952749],"category_scores_gemma":[0.004158237,0.0004100509,0.000890701,0.002995515,0.001378265,0.0013504,0.003832609,0.001108746,0.001390103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009404328,"about_ca_system_score_gemma":0.01126178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01784911,"about_ca_topic_score_gemma":0.04057924,"domain_scores_codex":[0.995849,0.002306377,0.0001882019,0.0004584646,0.00039543,0.0008025156],"domain_scores_gemma":[0.9973292,0.001205371,0.0005351918,0.0001735643,0.0004627873,0.0002937974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00170422,0.01114699,0.1483788,0.01165992,0.000441106,0.01453646,0.0631178,0.02010732,0.0135894,0.0835028,0.02133279,0.6104825],"study_design_scores_gemma":[0.001696793,0.004797909,0.1864143,0.008035613,0.0006597883,0.004804553,0.3774424,0.05736288,0.02386871,0.0569391,0.277566,0.000411976],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7445653,0.003322159,0.1244413,0.008312303,0.0002378526,0.05360348,0.00756201,0.0002884186,0.05766714],"genre_scores_gemma":[0.7951071,0.001665778,0.1478996,0.001698531,0.00005708412,0.0305864,0.001814155,0.00004619591,0.02112518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02952749,"threshold_uncertainty_score":0.09877926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1174223469876075,"score_gpt":0.4223004863730879,"score_spread":0.3048781393854805,"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."}}