{"id":"W4323356193","doi":"10.1002/ange.202218129","title":"Toward Scalable Nanofluidic Osmotic Power Generation from Hypersaline Water Sources with a Metal–Organic Framework Membrane","year":2023,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"National Key Research and Development Program of China; Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Membrane; Osmotic power; Nanotechnology; Osmosis; Materials science; Chemistry; Chemical engineering; Forward osmosis; Chemical physics; Reverse osmosis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001490036,0.0002724529,0.0001803498,0.0001203321,0.0002044882,0.0002827057,0.0002612451,0.0003916328,0.0005519839],"category_scores_gemma":[0.0001757189,0.0001231707,0.0001595169,0.00009593833,0.0002307838,0.0004753259,0.0003362956,0.0004319392,0.000219815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000403177,"about_ca_system_score_gemma":0.0002119541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005668757,"about_ca_topic_score_gemma":0.0009443288,"domain_scores_codex":[0.9999362,0.000005659984,0.000004310918,0.00001530201,0.00002522728,0.00001323458],"domain_scores_gemma":[0.9999363,0.00001750993,0.00001515456,0.000004946147,0.00001563692,0.00001039491],"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":[0.000004923994,0.000005860882,0.00001936329,0.00002993907,0.000001534743,0.00001500565,0.000009032459,0.0001898141,0.9988508,0.0002144929,0.00004233742,0.0006169012],"study_design_scores_gemma":[0.000006518947,0.0000424699,0.0001806669,0.000004553633,0.000003439269,0.00002684179,0.00001296447,0.00398394,0.9940727,0.0001163636,0.001543946,0.000005523218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691622,0.001084521,0.02607685,0.0004412514,0.00005483149,0.00007027355,0.0002060717,0.0002231922,0.002680693],"genre_scores_gemma":[0.9804026,0.0006620936,0.01773399,0.00006986842,0.00001293106,0.00006091882,0.00008927295,0.00002253169,0.0009457801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005668757,"threshold_uncertainty_score":0.002925277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018589363942716,"score_gpt":0.200301555024659,"score_spread":0.1801156613852318,"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."}}