{"id":"W7120624262","doi":"","title":"The urban area and natural areas of the Metropolitan Region of São Paulo: from physiographic subdivisions to geographic categories","year":2013,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Nova scotia; Urban environment; Natural (archaeology)","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":[0.0004674704,0.0002028053,0.0001494816,0.002645558,0.0005501951,0.001019639,0.0003206918,0.0001819629,0.001804423],"category_scores_gemma":[0.001598415,0.0002341492,0.0002712888,0.003996025,0.0007623371,0.0005061742,0.001210678,0.0001684898,0.0001892717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007748023,"about_ca_system_score_gemma":0.0009013509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1015749,"about_ca_topic_score_gemma":0.2083958,"domain_scores_codex":[0.9997349,0.00007355023,0.00002059712,0.00006818365,0.0000627605,0.00003994527],"domain_scores_gemma":[0.9992599,0.000250192,0.0001874822,0.00005468644,0.0001609252,0.00008675097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003133099,0.00001000239,0.9752177,0.0001548614,0.00005169787,0.0001358776,0.006860888,0.0002893862,0.001132344,0.001640133,0.0003399892,0.0141358],"study_design_scores_gemma":[9.743092e-7,0.00001882842,0.9909105,0.00004025842,0.00001682671,0.0001126004,0.00617325,0.0002233634,0.00007700668,0.0001483325,0.002272871,0.000005163472],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9936689,0.0008093654,0.0004221829,0.0001595331,0.000004989677,0.00003150354,0.0008458097,0.00001040968,0.00404751],"genre_scores_gemma":[0.99828,0.0003434391,0.0005258552,0.000007645107,0.000002572743,0.00002439712,0.0003523406,0.000003244817,0.0004603804],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1015749,"threshold_uncertainty_score":0.2019672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136573608106199,"score_gpt":0.2127836308689519,"score_spread":0.2014178947878899,"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."}}