{"id":"W4415284238","doi":"10.1021/acsami.5c14404","title":"Nanoscale Visualization and Contact Angle Analysis of Water Droplets on Ferroelectric Materials","year":2025,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation of Korea","keywords":"Nanoscopic scale; Contact angle; Wetting; Ferroelectricity; Dewetting; Characterization (materials science); Visualization; Lithium tantalate","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":[],"consensus_categories":[],"category_scores_codex":[0.0001984414,0.0002018267,0.0005018182,0.0004991489,0.00004983888,0.00008145927,0.0001587921,0.0001523639,0.00009520895],"category_scores_gemma":[0.00001232238,0.0001590346,0.00001331722,0.0003461324,0.00004002727,0.00004374748,0.00006845016,0.00004892816,0.0000105709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004059247,"about_ca_system_score_gemma":0.000005681304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003715789,"about_ca_topic_score_gemma":0.000005224415,"domain_scores_codex":[0.9990032,0.0000262675,0.000391853,0.000232926,0.00007981916,0.0002658941],"domain_scores_gemma":[0.9996381,0.00004099167,0.00005744198,0.0002226986,0.00002764001,0.00001316419],"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":[0.00006104249,0.00002159642,0.00001766047,0.0001167511,0.0005603666,5.643267e-7,0.0002036006,0.00002812434,0.9947119,0.003009583,0.0004708145,0.0007980495],"study_design_scores_gemma":[0.0002080873,0.00007323106,0.0002096024,0.00004061155,0.0003381812,5.663867e-7,0.00007715664,0.00000333252,0.9984669,0.000316731,0.0001139214,0.0001516756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980768,0.000411544,0.0001721059,0.00003859948,0.0002080038,0.0001987771,0.00004607268,0.0004037421,0.0004443573],"genre_scores_gemma":[0.9992746,0.0004018927,0.00002286916,0.00005047385,0.00001169074,0.00004813103,0.00006809194,0.00002277146,0.00009944112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003755057,"threshold_uncertainty_score":0.6485245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004640903610382955,"score_gpt":0.2204990903719717,"score_spread":0.2158581867615887,"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."}}