{"id":"W3128206428","doi":"10.1038/s41467-021-21219-y","title":"Functional and versatile superhydrophobic coatings via stoichiometric silanization","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":320,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University; Zhengzhou University; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Silanization; Nanotechnology; Coating; Contact angle; Nanoscopic scale; Fabrication; Superhydrophobic coating; Lotus effect; Stoichiometry; Nano-; Template; Siloxane; Polymer; Composite material; Organic chemistry","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":[0.0001586539,0.000492679,0.0001814688,0.0002661699,0.00009916927,0.0002056875,0.0003062612,0.0002710406,0.001233074],"category_scores_gemma":[0.0001812248,0.0003288231,0.0002137077,0.0001604343,0.000194776,0.000303796,0.0003310018,0.000424344,0.0005523491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00022413,"about_ca_system_score_gemma":0.0001789049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003384966,"about_ca_topic_score_gemma":0.0009053852,"domain_scores_codex":[0.9997726,0.00002285861,0.00001771701,0.00004769208,0.0000986159,0.00004051081],"domain_scores_gemma":[0.9999087,0.00001693846,0.00003427032,0.00001322861,0.00001582975,0.00001101099],"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":[0.000005567022,0.0000030594,0.00001266659,0.00002808967,0.000002164851,0.00001158795,0.000005929767,0.00004594064,0.9990323,0.00008383748,0.00003143468,0.0007374635],"study_design_scores_gemma":[0.000003980042,0.0000472779,0.0003041177,0.000001478186,0.000003925579,0.00007168707,0.000004069627,0.0005706229,0.9970189,0.00002493802,0.001944873,0.000004189103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339857,0.003552018,0.04570539,0.0002739936,0.0001351316,0.0002055179,0.0007096552,0.0009038966,0.01452858],"genre_scores_gemma":[0.9734303,0.001782542,0.02092078,0.0001128346,0.00003755045,0.00006287767,0.0003869334,0.00006769667,0.003198334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001233074,"threshold_uncertainty_score":0.004125059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508835021195196,"score_gpt":0.2643759389592149,"score_spread":0.2392875887472629,"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."}}