{"id":"W1984868177","doi":"10.1039/c4sm02787f","title":"Design of a robust superhydrophobic surface: thermodynamic and kinetic analysis","year":2015,"lang":"en","type":"article","venue":"Soft Matter","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Robustness (evolution); Wetting; Kinetic energy; Mechanics; Materials science; Computer science; Statistical physics; Thermodynamics; Classical mechanics; Physics; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005221384,0.0001467202,0.0003107373,0.0001041669,0.00004321093,0.00005090552,0.0001862825,0.00006978033,0.001782262],"category_scores_gemma":[0.00002426929,0.0001217864,0.00005774935,0.0003677838,0.0001668766,0.000112431,0.00006174066,0.0000615285,0.0005287154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003271421,"about_ca_system_score_gemma":0.00004335061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002817882,"about_ca_topic_score_gemma":0.000009705253,"domain_scores_codex":[0.9987426,0.0001964623,0.0002728713,0.0003152727,0.000255586,0.000217161],"domain_scores_gemma":[0.9992267,0.0000885652,0.00007075979,0.0003884286,0.0001016917,0.0001238665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003746819,0.00004885784,0.01871988,0.00001488798,0.00003781716,0.000002599957,0.0009644759,0.06018546,0.919524,0.00001195872,0.000431156,0.00002147183],"study_design_scores_gemma":[0.001915545,0.0002134966,0.0734418,0.00003187023,0.0007586061,0.00003153032,0.0007865311,0.6856659,0.2350427,0.0009321236,0.0002201608,0.0009597297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578182,0.0001920266,0.04113955,0.0002315775,0.00008811778,0.0001556305,0.00001138443,0.00004488371,0.0003186124],"genre_scores_gemma":[0.9953095,0.000007559772,0.003974847,0.0002330912,0.000009827033,0.000006251561,0.000006037748,0.0000169138,0.0004359701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6844812,"threshold_uncertainty_score":0.9991302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798786265326425,"score_gpt":0.2409772142198133,"score_spread":0.2029893515665491,"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."}}