{"id":"W7000607423","doi":"","title":"GEOQUÍMICA DO ARSÊNIO, DOS ELEMENTOS TERRAS RARAS E DOS METAIS PESADOS Cr, Zn, Ni e Pb NAS PLATAFORMAS CONTINENTAIS DO RIO DOCE (ES) E DE ABROLHOS (BA)","year":2018,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministério da Ciência, Tecnologia e Inovação; Université du Québec à Rimouski","keywords":"Erosion; Climate change; Heavy metals; Context (archaeology); Hydrology (agriculture)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002343507,0.0002255735,0.0002312358,0.001429296,0.0004415573,0.0005488584,0.00021371,0.0002065032,0.006836512],"category_scores_gemma":[0.0004385363,0.0001766877,0.0002024272,0.001481492,0.0003344361,0.0003062124,0.0004441191,0.0001689299,0.001084537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005558562,"about_ca_system_score_gemma":0.0005112696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03658026,"about_ca_topic_score_gemma":0.07266764,"domain_scores_codex":[0.9998488,0.00002098969,0.000009792403,0.00004396081,0.00006311134,0.00001340204],"domain_scores_gemma":[0.9998757,0.00002403297,0.00002273435,0.00001139848,0.0000570213,0.000009149469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009442622,0.00004018546,0.4180015,0.00141246,0.0002113551,0.0005717021,0.00272797,0.005226885,0.3098807,0.005530964,0.008929687,0.2465223],"study_design_scores_gemma":[0.00003351763,0.0004611091,0.7891808,0.0001614851,0.0001973555,0.001562218,0.004250951,0.004747722,0.1009389,0.003751916,0.09465194,0.00006195697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437588,0.002925311,0.00527466,0.0005078215,0.00007267952,0.00004356459,0.009574098,0.0002699381,0.03757313],"genre_scores_gemma":[0.9811055,0.001711697,0.003085634,0.00002870373,0.00001172967,0.00001444818,0.00185372,0.00007094511,0.01211773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03658026,"threshold_uncertainty_score":0.07273471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006863259811502148,"score_gpt":0.2119034723809267,"score_spread":0.2050402125694246,"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."}}