{"id":"W4388639939","doi":"10.1016/j.matlet.2023.135579","title":"Improving durability and photothermal deicing with prussian blue in ptfe superhydrophobic coating","year":2023,"lang":"en","type":"article","venue":"Materials Letters","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Science Research of Jiangsu Higher Education Institutions of China; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Prussian blue; Materials science; Coating; Durability; Photothermal therapy; Composite material; Polytetrafluoroethylene; Composite number; Nanoparticle; Cracking; Dispersion (optics); Nanotechnology; Optics","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":[0.0001452289,0.0002082441,0.000220472,0.000139924,0.0001513535,0.0002095046,0.000299921,0.0003235657,0.0007972711],"category_scores_gemma":[0.0002065605,0.0002406094,0.0002502607,0.00009439013,0.0001374985,0.000352429,0.0001998752,0.0004497917,0.0002711466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002453515,"about_ca_system_score_gemma":0.0001335198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064818,"about_ca_topic_score_gemma":0.001900725,"domain_scores_codex":[0.9998502,0.000008562857,0.000008502153,0.00003215933,0.00005585202,0.00004475099],"domain_scores_gemma":[0.9999139,0.00001283795,0.00001943024,0.00001415237,0.00002750332,0.00001208106],"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":[0.00002134034,0.000006972898,0.00008496406,0.00002167165,0.000003109362,0.00003543694,0.00001236499,0.00008911607,0.9982052,0.00005140495,0.00003110743,0.001437362],"study_design_scores_gemma":[0.000001122195,0.00002991638,0.0004941841,7.719809e-7,0.000004270903,0.00004132294,0.00000429449,0.0006108436,0.9984968,0.000005738289,0.0003089986,0.000001737517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992164,0.00100517,0.004904072,0.00006545787,0.00003326208,0.00001210253,0.00004104821,0.00008809486,0.001686898],"genre_scores_gemma":[0.9958491,0.0003031683,0.001505885,0.00002144456,0.000005373552,0.000004186339,0.00004008037,0.00001661289,0.002254039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001064818,"threshold_uncertainty_score":0.002667129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126701163800618,"score_gpt":0.2132586255146408,"score_spread":0.2019916138766346,"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."}}