{"id":"W4377290722","doi":"10.3390/molecules28104205","title":"Valorization of Fibrous Plant-Based Food Waste as Biosorbents for Remediation of Heavy Metals from Wastewater—A Review","year":2023,"lang":"en","type":"review","venue":"Molecules","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heavy metals; Wastewater; Food waste; Environmental science; Environmental remediation; Waste management; Lignin; Hemicellulose; Cellulose; Biosorption; Environmental engineering; Chemistry; Adsorption; Environmental chemistry; Contamination; Engineering; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003350488,0.0002747457,0.001286658,0.00004562593,0.000054965,0.00001501601,0.0002740148,0.0002173882,0.00002912831],"category_scores_gemma":[0.0004495099,0.0001126729,0.0006377167,0.0005491817,0.0000534745,0.00004796926,0.0000515199,0.00007867666,0.000005516984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004252896,"about_ca_system_score_gemma":0.00007056072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00013753,"about_ca_topic_score_gemma":0.00003801108,"domain_scores_codex":[0.9978749,0.000287943,0.0009164311,0.0004032661,0.0003150871,0.0002024034],"domain_scores_gemma":[0.9984721,0.0003712553,0.0007451545,0.0001446655,0.0001996264,0.00006721869],"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":[0.00004574852,0.0001567053,0.000002284055,0.07685725,0.0002365337,0.000001143808,0.00001919183,0.00001136822,0.001722033,0.0001110311,0.0005112157,0.9203255],"study_design_scores_gemma":[0.0006689474,0.0040872,0.00003918389,0.08998314,0.003197156,0.000006667633,0.001533292,0.0001381396,0.02939436,0.001928851,0.8676165,0.001406521],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007630235,0.9874288,0.00001953611,0.0001966401,0.0002443638,0.001934616,0.002480391,0.00005074371,0.00001461696],"genre_scores_gemma":[0.001350968,0.9923574,0.0001013532,0.00002815106,0.0001344975,0.0001712712,0.005784385,0.000006042602,0.00006590574],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.918919,"threshold_uncertainty_score":0.4594666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06947719439800913,"score_gpt":0.2998123989387508,"score_spread":0.2303352045407417,"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."}}