{"id":"W4224015568","doi":"10.3390/jmse10040534","title":"Recent Advances in Functional Materials for Wastewater Treatment: From Materials to Technological Innovations","year":2022,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Context (archaeology); Environmental science; Wastewater; Environmental remediation; Sewage treatment; Industrial wastewater treatment; Waste management; Pollution; Environmental engineering; Engineering; Contamination; Ecology","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":[0.00105948,0.0009575024,0.0008330354,0.002275954,0.0003601309,0.001434579,0.0006938841,0.001462202,0.004544582],"category_scores_gemma":[0.00133053,0.0005177181,0.0007423709,0.002766229,0.0006454663,0.002595139,0.0009032169,0.001752269,0.001591988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005005439,"about_ca_system_score_gemma":0.0008698941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004197359,"about_ca_topic_score_gemma":0.0007527773,"domain_scores_codex":[0.9995291,0.00008253451,0.00005942646,0.0001037812,0.0001681472,0.00005704325],"domain_scores_gemma":[0.998822,0.0006928921,0.0001512216,0.00004409424,0.0002332049,0.00005649315],"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":[0.0001433946,0.0002078594,0.000800618,0.05887895,0.0001379283,0.000831838,0.0005623787,0.001715447,0.06810559,0.02751288,0.02346271,0.8176404],"study_design_scores_gemma":[0.0000125478,0.0003024932,0.001037149,0.002879245,0.0001400804,0.00127606,0.0002580439,0.000843348,0.01809827,0.008729039,0.966359,0.00006477996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002538326,0.9882143,0.00295336,0.0009064579,0.0005443067,0.00001799284,0.00006404696,0.00004465569,0.004716534],"genre_scores_gemma":[0.009840447,0.9842299,0.003007574,0.0007029469,0.0005849305,0.00003093049,0.0001152127,0.00001325164,0.001474754],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004544582,"threshold_uncertainty_score":0.01520318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484341397124762,"score_gpt":0.2465876857356225,"score_spread":0.2217442717643749,"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."}}