{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003939179,0.0008346249,0.000846087,0.0003990325,0.002296889,0.0001754675,0.001361985,0.0005447196,0.00004240629],"category_scores_gemma":[0.0003306018,0.000558274,0.0007178779,0.001755267,0.0003657631,0.0003672432,0.0008208437,0.0008902621,0.000007577349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003847828,"about_ca_system_score_gemma":0.00008593188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003031531,"about_ca_topic_score_gemma":0.004960846,"domain_scores_codex":[0.9949339,0.0005392415,0.001141283,0.001070785,0.001461709,0.0008530722],"domain_scores_gemma":[0.9965528,0.0005486456,0.001144122,0.0011354,0.0001888069,0.0004302305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001426548,0.002547524,0.6067417,0.0006068923,0.003284546,0.00005740162,0.03172428,0.0002336859,0.03046386,0.3106,0.003473292,0.008840302],"study_design_scores_gemma":[0.0005719638,0.0001659314,0.9302003,0.0004112705,0.0004255105,0.00005601372,0.01736705,0.0001088266,0.002131867,0.001289295,0.04660376,0.0006682341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868614,0.004865902,0.0000590332,0.002681458,0.001253942,0.001177869,0.0001846012,0.00005032852,0.00286545],"genre_scores_gemma":[0.9962795,0.002478527,0.0001385546,0.00007145062,0.0001138801,0.0002832536,0.0002447049,0.00005551127,0.0003346633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3234586,"threshold_uncertainty_score":0.9996869,"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."}}