{"id":"W2310529669","doi":"10.1002/adma.201506446","title":"Thermal Processing of Silicones for Green, Scalable, and Healable Superhydrophobic Coatings","year":2016,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Materials science; Scalability; Nanotechnology; Degradation (telecommunications); Self-healing; Variety (cybernetics); Computer science; Database; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006107998,0.0001716124,0.0003797591,0.00004705058,0.0001441386,0.00004309781,0.0001584455,0.00007184655,0.000510963],"category_scores_gemma":[0.0001708813,0.0001157757,0.00003010176,0.0000754198,0.000214646,0.0004533637,0.00005827722,0.00001720224,0.00002919131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003158238,"about_ca_system_score_gemma":0.00005744293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001102373,"about_ca_topic_score_gemma":0.000007443978,"domain_scores_codex":[0.9985949,0.00006638079,0.0004498936,0.0003767749,0.0001890481,0.0003230115],"domain_scores_gemma":[0.9990984,0.0001575899,0.0001848203,0.0002511121,0.0002308253,0.00007728355],"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":[0.0001660003,0.00003031674,0.000152148,0.0001712019,0.000001974079,3.755568e-7,0.0001829366,0.00001748509,0.9958872,0.0002212961,0.00002017546,0.003148925],"study_design_scores_gemma":[0.0009575407,0.00009658178,0.0004224905,0.0001063712,0.000009769062,0.000003188638,0.00006367767,0.00002736968,0.9967015,0.0006241127,0.0008149675,0.0001724027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997452,0.0002130418,0.0009369993,0.0003960731,0.0002262007,0.0004424693,0.0001415624,0.00008904778,0.0001026675],"genre_scores_gemma":[0.9945224,0.00004420661,0.004613772,0.00009816863,0.00004550981,0.0001001677,0.000004050647,0.0000289943,0.0005427175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003676772,"threshold_uncertainty_score":0.5594687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703790856776487,"score_gpt":0.2564065336634297,"score_spread":0.2393686250956649,"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."}}