{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001787718,0.0003312897,0.000257836,0.001236114,0.005966309,0.004230447,0.0007330037,0.00112346,0.008479829],"category_scores_gemma":[0.002692557,0.0003543671,0.0003135286,0.002758099,0.007958534,0.002803863,0.003250693,0.001529006,0.0004934526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007880174,"about_ca_system_score_gemma":0.01013712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3749396,"about_ca_topic_score_gemma":0.6185111,"domain_scores_codex":[0.9986023,0.0005267252,0.00004278945,0.0002463232,0.0002415236,0.0003403767],"domain_scores_gemma":[0.9981738,0.0003705568,0.0002989378,0.0002802468,0.0003605799,0.0005159535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001265145,0.00008116285,0.08623555,0.0008559022,0.00005578639,0.001884699,0.3773797,0.0004877821,0.004038994,0.3757316,0.01978339,0.1333389],"study_design_scores_gemma":[0.00001674029,0.00009383125,0.1906479,0.0009558573,0.00005921679,0.001080504,0.2421882,0.0005547705,0.0007953515,0.02369624,0.5398147,0.00009676749],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6050071,0.01852299,0.005400693,0.04867795,0.0005140178,0.00009750001,0.0005371305,0.0002344918,0.3210081],"genre_scores_gemma":[0.9788353,0.002483091,0.001625181,0.000671273,0.0000411438,0.00001920036,0.00006429639,0.0000272486,0.01623311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3749396,"threshold_uncertainty_score":0.7455145,"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."}}