{"id":"W4400147203","doi":"10.1016/j.watres.2024.122021","title":"Maximizing the wetting resistance of fluorine-free omniphobic membranes for hypersaline wastewater desalination","year":2024,"lang":"en","type":"article","venue":"Water Research","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Wetting; Membrane; Polydimethylsiloxane; Surface energy; Chemical engineering; Contact angle; Membrane distillation; Chemistry; Desalination; Fluorocarbon; Biofouling; Materials science; Nanotechnology; Composite material; Organic chemistry","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":[0.0002275301,0.0003632592,0.0001937334,0.0001904091,0.0001702518,0.0002178477,0.0001802011,0.0003275196,0.0003481609],"category_scores_gemma":[0.0003239324,0.0001543431,0.0002350164,0.0001194995,0.0001877206,0.0004281687,0.0002598656,0.0003979243,0.0001347789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002919036,"about_ca_system_score_gemma":0.0001492905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003008228,"about_ca_topic_score_gemma":0.0008317314,"domain_scores_codex":[0.9998373,0.00002346431,0.00001238686,0.00002451959,0.00007420443,0.00002804459],"domain_scores_gemma":[0.9998385,0.00005131915,0.00005700678,0.00001268867,0.00002557342,0.00001492474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000650306,0.000003595611,0.0000563822,0.00001990084,0.00000179338,0.00001076226,0.000006239438,0.0000673644,0.9993067,0.0000293876,0.000006043383,0.000485393],"study_design_scores_gemma":[0.000001041473,0.00002653083,0.0003864121,9.498337e-7,0.000002095956,0.00002313531,0.000004701675,0.0005083645,0.9988189,0.000009441239,0.0002161965,0.000002058491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921404,0.0007967256,0.006307494,0.00006205565,0.00001126577,0.00001989297,0.00006538624,0.00003204973,0.0005648867],"genre_scores_gemma":[0.9910482,0.0007142772,0.007577845,0.00002941497,0.000007325696,0.00002148539,0.00007339888,0.00001313854,0.0005150271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003632592,"threshold_uncertainty_score":0.002117872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09260955708862541,"score_gpt":0.347984763259997,"score_spread":0.2553752061713716,"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."}}