{"id":"W4383067255","doi":"10.31668/rt.v12i01.14173","title":"MAPEAMENTO DOS TERRENOS NÃO EDIFICADOS E ANÁLISE DOS VAZIOS URBANOS DE IPORÁ","year":2023,"lang":"pt","type":"article","venue":"Revista Territorial (ISSN 2317-0360)","topic":"Urban Development and Societal Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Geography; Art","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":[0.0005053679,0.0005858059,0.0003928414,0.005285845,0.001128125,0.002239849,0.0005244906,0.0004590836,0.006620364],"category_scores_gemma":[0.001400655,0.0002803836,0.0007284373,0.008149405,0.0006551519,0.001145382,0.001853798,0.0004150979,0.0009852274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008517271,"about_ca_system_score_gemma":0.001239935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05994092,"about_ca_topic_score_gemma":0.09712825,"domain_scores_codex":[0.99951,0.00006470465,0.00003489705,0.0001189726,0.000163162,0.0001082814],"domain_scores_gemma":[0.9992573,0.0001258809,0.0001709262,0.0000613084,0.0002877549,0.00009680016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003275578,0.0000589687,0.8343828,0.001311414,0.0002260501,0.001165014,0.01209253,0.003764997,0.005547495,0.004140245,0.007688139,0.1292948],"study_design_scores_gemma":[0.000003822341,0.00007040334,0.9430539,0.0001801485,0.00007767104,0.0004099526,0.01642178,0.001000792,0.0009156308,0.0005428822,0.03729203,0.0000309469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345052,0.002165009,0.004979649,0.0004302242,0.00005245553,0.000199599,0.01494448,0.0003803445,0.04234317],"genre_scores_gemma":[0.9617387,0.002454442,0.01012885,0.00006855239,0.00003193542,0.0002695319,0.007632927,0.00007536551,0.01759963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05994092,"threshold_uncertainty_score":0.1191841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04925835271878516,"score_gpt":0.3282725011573135,"score_spread":0.2790141484385284,"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."}}