{"id":"W4319162069","doi":"10.1002/adfm.202214947","title":"Fabricating Tunable Superhydrophobic Surfaces Enabled by Surface‐Initiated Emulsion Polymerization in Water","year":2023,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Materials science; Emulsion; Polymer; Substrate (aquarium); Nanotechnology; Monomer; Contact angle; Chemical engineering; Surface modification; Deposition (geology); Polymerization; Superhydrophobic coating; Surface engineering; Fouling; Composite material; Membrane","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008411101,0.0003461297,0.0004679588,0.0001988107,0.0003670659,0.0001875778,0.0002554266,0.0001733659,0.00637059],"category_scores_gemma":[0.0001365924,0.0002906024,0.00005676393,0.0007436941,0.0001034452,0.0008111584,0.0001359967,0.000112181,0.003590109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491309,"about_ca_system_score_gemma":0.00005136755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003904318,"about_ca_topic_score_gemma":0.00001146274,"domain_scores_codex":[0.9967296,0.0003541708,0.0008156148,0.000777964,0.000528743,0.000793915],"domain_scores_gemma":[0.9989935,0.0001902839,0.0001384958,0.0004042658,0.0001451172,0.0001283435],"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":[0.0001817867,0.00006572114,0.000553849,0.00003188213,0.000006088526,0.00000751609,0.0002853037,0.02516678,0.9731086,0.00007899085,0.0004588931,0.00005457947],"study_design_scores_gemma":[0.0009294635,0.00005041148,0.002342784,0.00003566535,0.000007632183,0.000005418245,0.0003274087,0.001472224,0.9931737,0.0004014037,0.0008666865,0.0003872527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995945,0.00009865734,0.0002897729,0.0004252472,0.00165522,0.0004749049,0.0001629806,0.0006053635,0.000342811],"genre_scores_gemma":[0.9955186,0.0001058311,0.0002688015,0.0002028497,0.00006411925,0.0001031526,0.00155843,0.00006541669,0.002112843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02369456,"threshold_uncertainty_score":0.9999546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511259310996111,"score_gpt":0.2473623043000342,"score_spread":0.2222497111900731,"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."}}