{"id":"W2015668727","doi":"10.4028/www.scientific.net/amr.409.783","title":"Superhydrophobic Surface Elaboration Using Plasma Polymerization of Hexamethyldisiloxane (HMDSO)","year":2011,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Université du Québec à Chicoutimi","keywords":"Hexamethyldisiloxane; Materials science; Plasma polymerization; Contact angle; Anodizing; Polymerization; Coating; Substrate (aquarium); Superhydrophobic coating; Layer (electronics); Chemical engineering; Aluminium; Composite material; Plasma; Polymer","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":[0.00009394071,0.000271522,0.000142166,0.0001326018,0.0000825254,0.0001145487,0.0001129574,0.0001622258,0.0009412747],"category_scores_gemma":[0.00009528689,0.0001516275,0.0002375632,0.00008832759,0.000136723,0.0001417721,0.000172096,0.0002965203,0.0002089805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120332,"about_ca_system_score_gemma":0.00009667448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002615117,"about_ca_topic_score_gemma":0.0006384821,"domain_scores_codex":[0.9999394,0.0000065094,0.000003404743,0.000012385,0.00002308644,0.00001507083],"domain_scores_gemma":[0.9999318,0.0000200764,0.00002147919,0.000007265785,0.000008912352,0.0000104647],"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":[0.00000794106,0.000002551585,0.00002385541,0.00002737139,0.000001671935,0.0000179783,0.000006722935,0.00002857102,0.9992259,0.00001996403,0.000007144519,0.0006302921],"study_design_scores_gemma":[0.000003307238,0.00008047249,0.000670574,0.000001293812,0.000003947502,0.00008373043,0.000005849383,0.0003153547,0.9980993,0.00001143003,0.0007227724,0.000002007388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859062,0.001063483,0.01123083,0.00005959651,0.00002901756,0.00004043947,0.00009448978,0.00006223745,0.001513677],"genre_scores_gemma":[0.9870654,0.0008831249,0.01007777,0.0000368577,0.00001644309,0.00001879678,0.0001035978,0.0000129183,0.001784982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009412747,"threshold_uncertainty_score":0.003148913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1565379441087658,"score_gpt":0.3635915799194973,"score_spread":0.2070536358107316,"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."}}