{"id":"W4295015278","doi":"10.1016/j.chemosphere.2022.136329","title":"Nanocomposite membranes for organic solvent nanofiltration: Recent advances, challenges, and prospects","year":2022,"lang":"en","type":"review","venue":"Chemosphere","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Membrane; Nanofiltration; Nanocomposite; Materials science; Nanotechnology; Nanomaterials; Solvent; Chemical engineering; Chemistry; 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":[0.0002299973,0.0004651037,0.0009338706,0.00001655249,0.0002686136,0.00004499618,0.0005269139,0.0002630295,0.008524626],"category_scores_gemma":[0.0000767775,0.000409354,0.0001668654,0.0002881127,0.0001567823,0.0002199609,0.0004204591,0.0002695604,0.0001346269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000412098,"about_ca_system_score_gemma":0.0000640892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001801727,"about_ca_topic_score_gemma":0.000050362,"domain_scores_codex":[0.9978772,0.0000544318,0.0005006695,0.0008855418,0.0003302869,0.0003518079],"domain_scores_gemma":[0.9987767,0.0001311749,0.0003905451,0.0006063848,0.0000101796,0.00008497488],"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":[0.000005542742,0.00005208098,7.087473e-7,0.009180849,0.00002816545,0.000003607037,0.00006524725,0.000003036551,0.00005966112,0.0001339832,0.001023511,0.9894436],"study_design_scores_gemma":[0.0002103609,0.0001012323,8.801254e-7,0.0004363567,0.0001314621,0.00005853179,0.000073613,0.000006122328,0.0008840564,0.0004075872,0.9972434,0.0004463832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005149137,0.9891896,0.00002689911,0.0001879625,0.0002539955,0.00233788,0.00002029704,0.0002451607,0.007733025],"genre_scores_gemma":[0.000002278806,0.9945206,0.002185359,0.00004161488,0.00006148589,0.00129703,0.0001543446,0.00007314552,0.001664162],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9962199,"threshold_uncertainty_score":0.9998358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0452998821960641,"score_gpt":0.2852221790500626,"score_spread":0.2399222968539985,"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."}}