{"id":"W1565588036","doi":"10.11606/d.100.2013.tde-29082013-230632","title":"Por dentro da quebrada: a heterogeneidade social de Ermelino Matarazzo e da periferia","year":2013,"lang":"pt","type":"dissertation","venue":"","topic":"Urban Development and Societal Issues","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Geography; Diversity (politics); Urbanization; Industrialisation; Hierarchy; Regional science; Economic geography; Government (linguistics); Real estate; Estate; Economy; Economic growth; Cartography; Political science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007371344,0.000931246,0.001110106,0.0001755676,0.002290362,0.001808447,0.001258985,0.001620405,0.01461355],"category_scores_gemma":[0.0001170586,0.0009404683,0.0007502512,0.0006201248,0.0004591474,0.0007470314,0.0001491589,0.0006977288,0.002650586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000737534,"about_ca_system_score_gemma":0.001522683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01552516,"about_ca_topic_score_gemma":0.008528102,"domain_scores_codex":[0.9942587,0.0005058693,0.001065832,0.001065208,0.001421366,0.001683033],"domain_scores_gemma":[0.9979948,0.0001209779,0.0006396222,0.0003240488,0.0003793887,0.000541143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001723266,0.0006107003,0.01763224,0.000521805,0.00143343,0.00007238051,0.7285179,0.000001314165,0.006028132,0.02598217,0.2104703,0.008557343],"study_design_scores_gemma":[0.002588806,0.0002879708,0.06153713,0.0004342975,0.001126801,0.00001116645,0.6825133,0.0005034719,0.006671545,0.00327755,0.2348367,0.006211234],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731764,0.001246844,0.0000522811,0.001603041,0.002481444,0.00120453,0.00004818352,0.0003035958,0.01988366],"genre_scores_gemma":[0.6164685,0.0004721661,0.0006986928,0.000598663,0.001396275,0.0001898705,0.001337959,0.0001114912,0.3787264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3588428,"threshold_uncertainty_score":0.9996757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04258619915211719,"score_gpt":0.3281345512017176,"score_spread":0.2855483520496004,"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."}}