{"id":"W1953599282","doi":"10.1016/b978-0-444-56328-6.00003-7","title":"Biopolymer-Based Nanomaterials","year":2012,"lang":"en","type":"book-chapter","venue":"Comprehensive analytical chemistry","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de Recherche et de Développement en Agroenvironnement; Institut National de la Recherche Scientifique","funders":"","keywords":"Bioremediation; Environmental science; Contamination; Zerovalent iron; Biopolymer; Groundwater; Environmental chemistry; Environmental engineering; Waste management; Nanotechnology; Chemistry; Materials science; Engineering; Ecology; Adsorption","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":[0.0001479021,0.001020002,0.0005085272,0.0007801872,0.0003675873,0.0009738466,0.0005808051,0.0007118701,0.007594203],"category_scores_gemma":[0.0001120395,0.0004266264,0.0002836667,0.0007183354,0.0003469242,0.00119879,0.0007595913,0.001149789,0.008714016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000657298,"about_ca_system_score_gemma":0.0003609076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002968974,"about_ca_topic_score_gemma":0.0009254709,"domain_scores_codex":[0.9998451,0.000009622106,0.000005855023,0.00003510857,0.0000898559,0.00001440457],"domain_scores_gemma":[0.9999702,0.000007882667,0.000003373206,0.000004394597,0.00000982536,0.000004357953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003628278,0.0001648151,0.00005519678,0.001704115,0.0000308095,0.0002466017,0.000161421,0.001130154,0.4159276,0.06788252,0.04863285,0.4640276],"study_design_scores_gemma":[0.000003439091,0.00004525105,0.0001320027,0.000143889,0.00001306266,0.0002768008,0.00001982655,0.0005500527,0.1487419,0.007866045,0.8421918,0.00001593346],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01465575,0.3069216,0.09912289,0.001437688,0.004427352,0.0002252441,0.0007127458,0.001081938,0.5714148],"genre_scores_gemma":[0.03381632,0.1742333,0.03530721,0.001260296,0.0006597799,0.0002712124,0.000929263,0.0003494214,0.7531732],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.007594203,"threshold_uncertainty_score":0.02540511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04272704849931701,"score_gpt":0.2656380016853737,"score_spread":0.2229109531860566,"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."}}