{"id":"W2785628154","doi":"","title":"GEOQUÏMICA E GEOCRONOLOGIA DE ROCHAS GNAÍSSICAS PALEOPROTEROZÓI- CAS DO COMPLEXO PARAÍBA DO SUL (UNIDADE QUIRINO), REGIÃO DE BARRA MANSA, RIO DE JANEIRO, BRASIL","year":2017,"lang":"pt","type":"article","venue":"Revista Brasileira de Geociências","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zircon; Geology; Geochemistry; Orogeny; Gneiss; Archean; Lile; Tectonics; Crust; Metamorphic rock; Paleontology; Partial melting","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.004981155,0.002002323,0.002291987,0.0003819741,0.004194391,0.006104582,0.009259117,0.001947181,0.00113239],"category_scores_gemma":[0.003842206,0.002212211,0.00114223,0.0007442961,0.001808163,0.001220421,0.00323815,0.003112584,0.0008643204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688897,"about_ca_system_score_gemma":0.002567447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002023942,"about_ca_topic_score_gemma":0.0003671193,"domain_scores_codex":[0.9865158,0.001474694,0.001912571,0.003362902,0.001196521,0.005537494],"domain_scores_gemma":[0.9867749,0.0007824739,0.00247792,0.007340494,0.0006621733,0.001962034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003564994,0.0008451494,0.8812845,0.002709011,0.0007269203,0.006857918,0.01504077,0.00120079,0.009108533,0.03217245,0.02750632,0.02219108],"study_design_scores_gemma":[0.002628075,0.0005099819,0.9064775,0.002149848,0.0004188675,0.004761827,0.001735685,0.01536048,0.002610397,0.006723152,0.05327565,0.003348596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8633953,0.005162287,0.1018231,0.00679864,0.0007102838,0.001945983,0.0002329179,0.0007953038,0.01913617],"genre_scores_gemma":[0.9740315,0.0003792564,0.009937506,0.001760849,0.001371764,0.0002331356,0.00007301641,0.0001050618,0.01210793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1106361,"threshold_uncertainty_score":0.9999136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03945621750303998,"score_gpt":0.2895895220441823,"score_spread":0.2501333045411424,"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."}}