{"id":"W7008079717","doi":"","title":"Avaliação e remediação de zona contaminada por hidrocarbonetos","year":2008,"lang":"pt","type":"dissertation","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollution; Derogation; Heavy metals; Waste disposal","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":[0.0003118775,0.0002881693,0.0003726752,0.0006251163,0.0003944605,0.0008968979,0.0002353303,0.0007986546,0.002302374],"category_scores_gemma":[0.0003471566,0.0002041624,0.0005181378,0.0005775947,0.0002939473,0.0003239512,0.0002805106,0.0002854317,0.0003435634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006145036,"about_ca_system_score_gemma":0.0005517966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01287533,"about_ca_topic_score_gemma":0.01776898,"domain_scores_codex":[0.9995901,0.00005247739,0.00001887185,0.0001103003,0.0001645586,0.0000636945],"domain_scores_gemma":[0.9997887,0.00005016017,0.00004775338,0.00001479623,0.00008438339,0.00001418594],"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":[0.000433347,0.00006684109,0.0109607,0.0006912421,0.00005465284,0.0001006556,0.0002453878,0.001107063,0.9712496,0.0002064316,0.000153622,0.0147304],"study_design_scores_gemma":[0.00006055925,0.003460932,0.1329647,0.0001681706,0.0001931042,0.000336994,0.001256976,0.004769598,0.8308535,0.0003907887,0.02548222,0.00006250043],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901047,0.002552439,0.001621493,0.00008899327,0.0000305957,0.0001028152,0.0009835365,0.00005811955,0.00445723],"genre_scores_gemma":[0.9843071,0.003874581,0.003549984,0.0001166161,0.00001127747,0.0000744127,0.0004695686,0.0000215598,0.007575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01287533,"threshold_uncertainty_score":0.02560073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05714690289201935,"score_gpt":0.362260355653827,"score_spread":0.3051134527618076,"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."}}