{"id":"W2791472770","doi":"10.1016/j.apsusc.2018.02.238","title":"On-demand oil-water separation via low-voltage wettability switching of core-shell structures on copper substrates","year":2018,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Simon Fraser University","keywords":"Superhydrophilicity; Copper; Materials science; Wetting; Electrochemistry; Chemical engineering; Oxide; Permeation; Contact angle; Oil droplet; Membrane; Electrode; Metallurgy; Composite material; Chemistry; Emulsion","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007909014,0.0002992649,0.0001807869,0.0002041362,0.0001941052,0.0002676762,0.0005059374,0.0001876242,0.001370588],"category_scores_gemma":[0.000175844,0.0001998945,0.0001221944,0.000186333,0.0001486306,0.0003187818,0.0001911203,0.0003061465,0.0003155422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004098522,"about_ca_system_score_gemma":0.0001607664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000931002,"about_ca_topic_score_gemma":0.002106328,"domain_scores_codex":[0.9999073,0.000007738035,0.000004647834,0.00002175308,0.00002260632,0.00003592227],"domain_scores_gemma":[0.999911,0.0000164146,0.00002089815,0.00001678509,0.00002177101,0.00001317746],"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":[0.0000594997,0.00001384447,0.00009428331,0.000038879,0.000003386954,0.00007153561,0.00003071812,0.000157157,0.9954857,0.0002068109,0.0002547551,0.003583416],"study_design_scores_gemma":[0.000007258892,0.00005075438,0.0005954627,0.00000147941,0.000003357821,0.00003429138,0.00001436785,0.002707817,0.9957529,0.00003217204,0.0007956508,0.000004533882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937118,0.000251886,0.002597817,0.00006338682,0.00003279107,0.00001245623,0.00006883528,0.0001833781,0.003077536],"genre_scores_gemma":[0.9962842,0.0001077206,0.001938906,0.00001586317,0.00000843399,0.00000739912,0.00005175667,0.00002237921,0.001563463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001370588,"threshold_uncertainty_score":0.004585028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056857004311208,"score_gpt":0.2801309431572791,"score_spread":0.259562373114167,"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."}}