{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001422965,0.0002907299,0.0003515409,0.0001325981,0.0001698969,0.0003647834,0.0003731139,0.0003342155,0.0001600946],"category_scores_gemma":[0.001160393,0.0002999963,0.0001288643,0.00009797333,0.00003340091,0.0002493073,0.000223454,0.0005573383,0.00002657837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006679769,"about_ca_system_score_gemma":0.0000841508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001181023,"about_ca_topic_score_gemma":0.0005293655,"domain_scores_codex":[0.997924,0.0005883218,0.0004819822,0.0005053576,0.0002505112,0.000249803],"domain_scores_gemma":[0.996891,0.001715505,0.0002488664,0.0006181768,0.0003281383,0.0001983496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006078221,0.0003238619,0.001387934,0.001166451,0.0005935826,0.000003473067,0.01017807,0.02977771,0.04559663,0.003921985,0.002429545,0.90456],"study_design_scores_gemma":[0.0007448156,5.443077e-7,0.001868918,0.00129313,0.00006817663,0.000006090038,0.0001167625,0.9514827,0.02755805,0.01035551,0.00588725,0.0006181168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6790838,0.001181543,0.3130474,0.0007806221,0.000475085,0.0004760392,0.00011097,0.0003437724,0.004500776],"genre_scores_gemma":[0.9307843,0.001011836,0.06426329,0.0000451934,0.0001216224,0.00008779809,0.001549824,0.00006827954,0.002067865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9217049,"threshold_uncertainty_score":0.9999452,"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."}}