{"id":"W4397024071","doi":"10.1016/j.jhazmat.2024.134552","title":"Aluminosilicates-based nanosorbents for heavy metal removal – A review","year":2024,"lang":"en","type":"review","venue":"Journal of Hazardous Materials","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Agencia Nacional de Promoción Científica y Tecnológica; Universidad Nacional de Cuyo; Fondo para la Investigación Científica y Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Aluminosilicate; Context (archaeology); Environmental science; Heavy metals; Biochemical engineering; Engineering; Environmental chemistry; Chemistry; Geology","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":[0.0005879147,0.001040807,0.001412371,0.002347249,0.0002362714,0.0009651529,0.0008456152,0.0008532855,0.00277301],"category_scores_gemma":[0.0005062442,0.0003813275,0.0006612203,0.002646702,0.0003042691,0.001207544,0.0006793057,0.00114234,0.001380861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002761245,"about_ca_system_score_gemma":0.0009367901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008505864,"about_ca_topic_score_gemma":0.002305344,"domain_scores_codex":[0.9998127,0.00001873816,0.00002394475,0.00003432518,0.00009009626,0.00002028455],"domain_scores_gemma":[0.999763,0.00009063036,0.00005400078,0.00000719744,0.00006495945,0.0000202592],"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":[0.0001157932,0.0002204548,0.0001900247,0.04553396,0.0003221473,0.0002384751,0.00006572617,0.0007541204,0.01357665,0.003503708,0.02498323,0.9104957],"study_design_scores_gemma":[0.0000394323,0.0002986679,0.001153733,0.004011784,0.0004300458,0.0008588704,0.00008037969,0.000249375,0.004654692,0.00151349,0.9866565,0.00005310058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004290268,0.9980173,0.0002686643,0.0001388935,0.0002208885,0.000009785666,0.00003528719,0.000009807949,0.000870352],"genre_scores_gemma":[0.001188505,0.9976284,0.0003217642,0.00009666753,0.0001004006,0.000007333197,0.0000344359,0.000001500602,0.0006210767],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00277301,"threshold_uncertainty_score":0.009276688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04552126416705377,"score_gpt":0.3418812150265876,"score_spread":0.2963599508595339,"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."}}