{"id":"W2104740330","doi":"10.1155/2014/146769","title":"Assessment of Food Processing and Pharmaceutical Industrial Wastes as Potential Biosorbents: A Review","year":2014,"lang":"en","type":"review","venue":"BioMed Research International","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Biosorption; Environmental science; Pollutant; Waste management; Hazardous waste; Wastewater; Valorisation; Sewage treatment; Biochemical engineering; Pulp and paper industry; Adsorption; Environmental engineering; Chemistry; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002074381,0.0002838477,0.0007667853,0.0003806215,0.0001248158,0.00009341047,0.0007022191,0.0002861193,0.00491722],"category_scores_gemma":[0.0003117412,0.0002091571,0.0002693747,0.0006643746,0.0007814139,0.0001576553,0.0008169822,0.0007541857,0.0002591148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003715925,"about_ca_system_score_gemma":0.0002238892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001794292,"about_ca_topic_score_gemma":0.000001782714,"domain_scores_codex":[0.9956035,0.0005590994,0.000809514,0.0005725074,0.002054295,0.0004010639],"domain_scores_gemma":[0.998928,0.0001171827,0.0003810686,0.0002107709,0.00009047841,0.0002725569],"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":[0.000009443616,0.0001563378,0.00001857378,0.005784976,0.0001101336,0.000007389861,0.000003905462,1.618001e-7,0.0002158861,0.000348607,0.004328218,0.9890164],"study_design_scores_gemma":[0.0004012875,0.0001728412,0.00002111805,0.01120404,0.0001043375,0.0001295569,0.000006681548,0.0002819973,0.00001620318,0.00007718858,0.9873801,0.0002045963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009765119,0.9907628,0.0001004208,0.0008021976,0.0007517583,0.001202467,0.0002139416,0.00003220086,0.006036597],"genre_scores_gemma":[0.001754399,0.9960169,0.0003033273,0.00008364941,0.0004719853,0.00006604788,0.0001643495,0.00002790423,0.001111403],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9888118,"threshold_uncertainty_score":0.9959924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1815498558111222,"score_gpt":0.4865861052014941,"score_spread":0.3050362493903719,"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."}}