{"id":"W2994367165","doi":"10.1016/j.matchemphys.2019.122508","title":"Beyond microelectronics with 1,3,5,7-tetramethylcyclotetrasiloxane: A promising molecule for anti-fogging coatings","year":2019,"lang":"en","type":"article","venue":"Materials Chemistry and Physics","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Hôpital Saint-François d'Assise; Université de Montréal; Centre hospitalier universitaire de Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Centre québécois sur les matériaux fonctionnels","keywords":"Microelectronics; Fogging; Molecule; Materials science; Nanotechnology; Engineering physics; Chemistry; Organic chemistry; Physics; Composite material","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":[0.0001328742,0.0002820362,0.0001828597,0.0001661943,0.0001506003,0.0002789792,0.0003082755,0.0004275035,0.002218815],"category_scores_gemma":[0.00008820782,0.000101456,0.0001554699,0.0001327712,0.0003113867,0.0004224348,0.0002277159,0.000424428,0.0005730295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000255722,"about_ca_system_score_gemma":0.0002474538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000607582,"about_ca_topic_score_gemma":0.001206793,"domain_scores_codex":[0.9999311,0.000007310318,0.000002160481,0.000009841444,0.00002957155,0.00002007923],"domain_scores_gemma":[0.9999541,0.00001011229,0.00001102549,0.000004701509,0.000009588033,0.00001063201],"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":[0.0001003298,0.00004249724,0.0002926546,0.0002522008,0.000007718287,0.0001675054,0.00004377104,0.0003033119,0.9742423,0.005710223,0.0008283387,0.01800919],"study_design_scores_gemma":[0.00001531273,0.0007490488,0.001454928,0.00004040004,0.00002126193,0.0004780357,0.00005885469,0.002270826,0.9533321,0.001094122,0.04047094,0.00001421889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8254006,0.09808905,0.02965471,0.002669144,0.0009348968,0.0001224447,0.0004427673,0.0005469502,0.04213952],"genre_scores_gemma":[0.9551659,0.02030933,0.01023384,0.000577306,0.0001586155,0.00003659616,0.0002197479,0.00002750468,0.01327113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002218815,"threshold_uncertainty_score":0.007422686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00718772744007791,"score_gpt":0.2192840660328828,"score_spread":0.2120963385928049,"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."}}