{"id":"W2911306904","doi":"10.1038/s41598-018-37360-6","title":"Maximizing Electrokinetic Energy Conversion via the Intersecting Asymptotes Method","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Electrokinetic phenomena; Asymptote; Work (physics); Mechanics; Flow (mathematics); Energy (signal processing); Mathematical analysis; Physics; Mathematics; Materials science; Thermodynamics; Nanotechnology; Quantum mechanics","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":[0.001701839,0.0007544244,0.000840492,0.0009312362,0.0004511196,0.001077404,0.001030322,0.001057678,0.003584828],"category_scores_gemma":[0.004356959,0.0004152421,0.0006169366,0.0008756933,0.0008064493,0.001138477,0.00119195,0.001174857,0.001146677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007814901,"about_ca_system_score_gemma":0.0009644322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236465,"about_ca_topic_score_gemma":0.001117203,"domain_scores_codex":[0.9991758,0.0003319015,0.00004260251,0.00008849623,0.0002730293,0.00008806265],"domain_scores_gemma":[0.9989671,0.0007177333,0.00006478684,0.00006543299,0.000141335,0.00004368235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001296488,0.0001472084,0.0005923059,0.000352432,0.00005265042,0.0003193374,0.000354337,0.4968468,0.03561642,0.3819644,0.001960394,0.081664],"study_design_scores_gemma":[0.0000118585,0.00003999022,0.00006334995,0.0000264886,0.000007430664,0.00006400183,0.00001672761,0.9650508,0.006466102,0.02551256,0.002722184,0.00001859354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01071771,0.0001985936,0.9776823,0.00006733784,0.00002563428,0.00007017905,0.00003393983,0.0001428825,0.01106137],"genre_scores_gemma":[0.2762034,0.0008620408,0.71374,0.0001068042,0.00003406503,0.0004962084,0.00009839395,0.0002711915,0.008187982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003584828,"threshold_uncertainty_score":0.01199245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00566162835595612,"score_gpt":0.1992794314447432,"score_spread":0.1936178030887871,"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."}}