{"id":"W7134646761","doi":"","title":"Aplication of bioclimatic analysis method as a tool for interventions on historical centers: case in Ribeira quarter in Natai/RN","year":2004,"lang":"pt","type":"other","venue":"Digital Library of Theses and Dissertations  (Universidade de São Paulo)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban heat island; Work (physics); Quarter (Canadian coin); Urban environment; Climate change","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":[0.003756165,0.0004370787,0.0004387259,0.003449177,0.001868488,0.00136296,0.001582729,0.0007283291,0.004097414],"category_scores_gemma":[0.006790897,0.000249185,0.000495208,0.002602269,0.000956539,0.0006971313,0.001465284,0.000648575,0.0004368625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003213029,"about_ca_system_score_gemma":0.002982171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04035095,"about_ca_topic_score_gemma":0.06841803,"domain_scores_codex":[0.9972247,0.001801716,0.0001378796,0.0002299434,0.0003403049,0.0002653765],"domain_scores_gemma":[0.9969226,0.001102114,0.000532958,0.0002871548,0.0008292145,0.0003260327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004596488,0.000927104,0.5857747,0.0016045,0.0001038045,0.009226634,0.106915,0.001589549,0.006179453,0.00655622,0.004951808,0.2757116],"study_design_scores_gemma":[0.00003037935,0.001275405,0.7472412,0.0009190108,0.0002092638,0.002756219,0.2054053,0.005349599,0.005974791,0.002587216,0.02813194,0.0001197715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646957,0.00176135,0.007848112,0.002019003,0.000110045,0.000866836,0.0004568606,0.00006982212,0.02217223],"genre_scores_gemma":[0.9790014,0.0009250228,0.01566758,0.0001510048,0.00002093362,0.0003821112,0.0001189977,0.00001195198,0.00372099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04035095,"threshold_uncertainty_score":0.08023214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893877872077121,"score_gpt":0.2943945104747188,"score_spread":0.2754557317539476,"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."}}