{"id":"W4302773295","doi":"10.1016/j.jhazmat.2022.130127","title":"Recent advances in application of metal-organic frameworks (MOFs) as adsorbent and catalyst in removal of persistent organic pollutants (POPs)","year":2022,"lang":"en","type":"review","venue":"Journal of Hazardous Materials","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":274,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Austrian Science Fund","keywords":"Pollutant; Environmental remediation; Adsorption; Wastewater; Photocatalysis; Environmental chemistry; Bioaccumulation; Human decontamination; Environmental science; Waste management; Sewage treatment; Metal-organic framework; Chemistry; Contamination; Environmental engineering; Catalysis; Organic chemistry; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001646046,0.0005226063,0.003495123,0.000475671,0.00005873445,0.00004672398,0.0008285598,0.0007321971,0.007149276],"category_scores_gemma":[0.000757285,0.0004452072,0.0005714158,0.0007850318,0.0001104196,0.0001636525,0.0002680491,0.00103728,0.000009994386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004775446,"about_ca_system_score_gemma":0.000486993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002082749,"about_ca_topic_score_gemma":0.00002432525,"domain_scores_codex":[0.9945717,0.0003139792,0.003538258,0.0005044966,0.0007181988,0.0003532968],"domain_scores_gemma":[0.9938287,0.0004211292,0.004705799,0.0007669397,0.0001428517,0.0001345527],"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":[0.0001118176,0.0006462014,0.000007249761,0.009762968,0.0005485517,0.00007487805,0.0002879994,0.00001528511,0.08191244,0.0001987829,0.0000167098,0.9064171],"study_design_scores_gemma":[0.0008340875,0.0001724136,0.00001263498,0.01201841,0.002524251,0.002517032,0.00113029,0.00000744153,0.04152415,0.0006718226,0.9378251,0.0007623191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02870471,0.969903,0.00004091321,0.00008355492,0.0002775023,0.00048348,0.0002940227,0.00001027343,0.0002025416],"genre_scores_gemma":[0.03374166,0.9653625,0.0004490354,0.0000158459,0.0001763328,0.00005008819,0.00005336314,0.0001016853,0.00004944125],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9378085,"threshold_uncertainty_score":0.9998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088436087127089,"score_gpt":0.288488333857396,"score_spread":0.2676039729861251,"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."}}