{"id":"W3043610513","doi":"","title":"Avaliação espacial de metais pseudo-totais e disponíveis em sedimento de fundo do Rio Alegria – PR","year":2018,"lang":"pt","type":"dissertation","venue":"Institutional Repository of the Federal Technological University of Paraná (RIUT) (Federal University of Technology – Paraná)","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Heavy metals; Art; Environmental chemistry; Chemistry","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","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.0009141373,0.0008839997,0.001522862,0.00068067,0.003825851,0.00005144595,0.003756995,0.002885112,0.0007624782],"category_scores_gemma":[0.0001980825,0.0009096979,0.001249441,0.001241563,0.01043651,0.0005307571,0.001439329,0.001619201,0.0001049301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001937689,"about_ca_system_score_gemma":0.0008897774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004830767,"about_ca_topic_score_gemma":0.001654765,"domain_scores_codex":[0.9947073,0.0006849812,0.0009429293,0.001333526,0.001251596,0.001079603],"domain_scores_gemma":[0.9960272,0.0001499679,0.001982711,0.001207186,0.0003259317,0.0003069529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02295912,0.01186643,0.2757675,0.002764982,0.008126653,0.002471346,0.01870467,0.01275105,0.4872614,0.1328653,0.007274732,0.01718675],"study_design_scores_gemma":[0.01779144,0.005102679,0.4546742,0.004172502,0.004367021,0.001459372,0.07519566,0.004909465,0.2844588,0.02560171,0.116324,0.00594306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856671,0.0003324289,0.0046548,0.002542388,0.0006475986,0.00110972,0.000398151,0.0003102313,0.0043376],"genre_scores_gemma":[0.9797219,0.00027027,0.006474676,0.00005025509,0.00004145657,0.000001745051,0.00007759386,0.00002548789,0.01333659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2028026,"threshold_uncertainty_score":0.9993353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504594556918755,"score_gpt":0.2359357424277924,"score_spread":0.2208897968586048,"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."}}