{"id":"W6980414928","doi":"","title":"Casa sem pessoas para pessoas sem casa: a reabilitação de áreas históricas e o uso habitacional na realidade brasileira","year":2018,"lang":"en","type":"article","venue":"BDTD (Federal University of Rio Grande do Norte)","topic":"Urban Development and Societal Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Banco Nacional de Desenvolvimento Econômico e Social; Universidade Federal da Paraíba; Banco do Nordeste do Brasil; Hospital de Clínicas de Porto Alegre; United Nations Development Programme","keywords":"Order (exchange); Yield (engineering)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008376976,0.0003180399,0.0005337263,0.0001483391,0.002213778,0.000153206,0.0006623723,0.0003758974,0.0009158042],"category_scores_gemma":[0.0001418809,0.0003628775,0.0003573166,0.0004905666,0.001406103,0.0005537171,0.0001758028,0.0003044693,0.00009976529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006843759,"about_ca_system_score_gemma":0.0006859586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03604042,"about_ca_topic_score_gemma":0.04083188,"domain_scores_codex":[0.9970931,0.0003852433,0.0003186471,0.0005928231,0.0008261944,0.0007839905],"domain_scores_gemma":[0.9982956,0.0002436324,0.0002485898,0.0003297542,0.0004602845,0.0004221287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005658122,0.000433103,0.7503388,0.0000758738,0.0003476731,0.000341736,0.2053884,0.000003881105,0.0004938344,0.01202168,0.02739129,0.00259794],"study_design_scores_gemma":[0.003490449,0.0004684963,0.7217031,0.0002085063,0.0002651911,0.00005631853,0.05311595,0.0001163684,0.0002415661,0.003346822,0.2155483,0.001438947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579774,0.0001790364,0.000282821,0.001252615,0.000224223,0.0003572748,0.00004047092,0.0001745824,0.03951154],"genre_scores_gemma":[0.9712592,0.0001133686,0.001521106,0.0001237548,0.0002780585,0.000001215672,0.00004131761,0.00002197787,0.02663996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.188157,"threshold_uncertainty_score":0.9999975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03463971317828436,"score_gpt":0.2848681906849417,"score_spread":0.2502284775066574,"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."}}