{"id":"W2904341115","doi":"10.1016/j.jenvman.2018.12.004","title":"Metal-organic frameworks/carbon-based materials for environmental remediation: A state-of-the-art mini-review","year":2018,"lang":"en","type":"review","venue":"Journal of Environmental Management","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":154,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental remediation; Metal-organic framework; Nanocomposite; Materials science; Adsorption; Carbon nanotube; Pollutant; Nanotechnology; Photocatalysis; Catalysis; Waste management; Contamination; Chemistry; Organic 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001142054,0.0007062647,0.002180145,0.0001395833,0.0001288047,0.00004690091,0.001320438,0.0004368299,0.007065726],"category_scores_gemma":[0.0001029577,0.0005135586,0.001430239,0.0001845262,0.0002610286,0.00008656439,0.0003635607,0.0006293469,0.0001106146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007058397,"about_ca_system_score_gemma":0.00008365311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.878109e-7,"about_ca_topic_score_gemma":4.249047e-7,"domain_scores_codex":[0.9950832,0.0001646134,0.002644573,0.0005382323,0.001156743,0.000412599],"domain_scores_gemma":[0.9940441,0.0003475481,0.004176567,0.001245178,0.00001849187,0.0001681537],"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":[0.00005448992,0.0018136,0.00001089129,0.06800348,0.0037215,0.00002035997,0.0000307427,0.000004947706,0.005189206,0.0000470271,0.0123467,0.908757],"study_design_scores_gemma":[0.0003966808,0.00007261952,0.00001200215,0.02519744,0.005814251,0.00003165941,0.00002196238,0.000003947952,0.005210767,0.0001188917,0.9626623,0.000457411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002137427,0.9956371,0.0007223708,0.0002283289,0.0005637294,0.001582468,0.0005356824,0.00001210656,0.0005044445],"genre_scores_gemma":[0.000422809,0.9920455,0.003703615,0.0002579656,0.0004600094,0.0003301452,0.0001366961,0.0001567708,0.002486498],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9503157,"threshold_uncertainty_score":0.9997316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641346039519312,"score_gpt":0.2552670228101043,"score_spread":0.2388535624149112,"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."}}