{"id":"W2026612325","doi":"10.1039/c4ta07077a","title":"Influence of different chemical modifications on the icephobic properties of superhydrophobic surfaces in a condensate environment","year":2015,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Southeast University; Nanjing University","keywords":"Adhesion; Materials science; Composite material; Water ice; Nanotechnology; Chemical engineering; Astrobiology; Physics; 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":[0.0001837765,0.0003358641,0.0002017082,0.000147006,0.0001518843,0.0002706551,0.0001958888,0.0002406316,0.001522654],"category_scores_gemma":[0.0005322841,0.000222336,0.0001854283,0.0001671402,0.0003137154,0.0003118668,0.000179249,0.0003473157,0.0001676449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644637,"about_ca_system_score_gemma":0.0001597997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008818423,"about_ca_topic_score_gemma":0.001156829,"domain_scores_codex":[0.9998531,0.00002105054,0.00001173969,0.00003132169,0.00003933059,0.00004344976],"domain_scores_gemma":[0.9997547,0.00009528086,0.00005363629,0.00002360369,0.00003835995,0.000034424],"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":[0.0001329391,0.00001715809,0.0001085026,0.00002805414,0.000009529252,0.0000262483,0.00002410808,0.00008976307,0.9991226,0.00003165111,0.00001118797,0.0003983495],"study_design_scores_gemma":[0.000007719525,0.0001261819,0.001167853,0.000001346565,0.00001195985,0.00001796309,0.00001340479,0.000260721,0.9981853,0.00001045137,0.0001916514,0.000005344039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988151,0.0002388344,0.0004279548,0.00001480237,0.00001337857,0.00001106891,0.00006082781,0.000009044005,0.0004090691],"genre_scores_gemma":[0.998583,0.00027667,0.0005325409,0.00002341398,0.00000649267,0.0000130156,0.00008144305,0.00001485796,0.0004684883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001522654,"threshold_uncertainty_score":0.005093813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04098523640461046,"score_gpt":0.2311232160114555,"score_spread":0.190137979606845,"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."}}