{"id":"W2740719306","doi":"","title":"New hydrometallurgical process for soil remediation and nickel recovery from hyperaccumulating plants","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Environmental remediation; Environmental science; Nickel; Process (computing); Soil water; Soil remediation; Soil contamination; Metallurgy; Materials science; Computer science; Soil science; Contamination","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002533778,0.000349381,0.0005507914,0.0004197403,0.0003744453,0.0004447113,0.0003481003,0.0005282769,0.002277642],"category_scores_gemma":[0.0001540547,0.0002311968,0.0004497277,0.000270181,0.0003716041,0.0007435728,0.0006163571,0.0008759517,0.0007616299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003946377,"about_ca_system_score_gemma":0.0003476755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004814698,"about_ca_topic_score_gemma":0.0009616489,"domain_scores_codex":[0.9998023,0.00001605483,0.00001221902,0.00006790325,0.00007469414,0.0000267214],"domain_scores_gemma":[0.999922,0.00001248667,0.000009561118,0.00001693866,0.00002224462,0.00001672644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007715459,0.00006308913,0.00006467875,0.0001122964,0.000009297203,0.00005539521,0.00002171672,0.0001312046,0.9939667,0.0002921399,0.0001179833,0.00508832],"study_design_scores_gemma":[0.00002395633,0.0001563198,0.0004466932,0.000003645006,0.00001674585,0.0001199023,0.00001382513,0.001177851,0.9934824,0.0001395978,0.00441335,0.000005757853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7958068,0.008322645,0.1790937,0.0008240318,0.0004239965,0.0004322325,0.0007894702,0.0009206421,0.01338659],"genre_scores_gemma":[0.8902977,0.00330574,0.07526167,0.0002128232,0.00006474496,0.0002385142,0.0008371327,0.0001893806,0.02959224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002277642,"threshold_uncertainty_score":0.0076195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334145031190603,"score_gpt":0.2417840039739901,"score_spread":0.218442553662084,"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."}}