{"id":"W4393360078","doi":"10.1007/978-3-031-55552-7_3","title":"A Thermodynamic Model for Wetting Various Parallel-Structured Surfaces","year":2024,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on green energy and technology","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wetting; Materials science; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002866723,0.0006517352,0.000689194,0.0006935159,0.0008230351,0.001127404,0.002033029,0.001219024,0.009692971],"category_scores_gemma":[0.0005873627,0.0005156649,0.001016929,0.0006590667,0.0009667764,0.002628379,0.0007408448,0.001064061,0.001617802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009058162,"about_ca_system_score_gemma":0.000551468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426668,"about_ca_topic_score_gemma":0.001166065,"domain_scores_codex":[0.999838,0.00002053661,0.000006586374,0.00002969455,0.00008016702,0.00002497409],"domain_scores_gemma":[0.9999189,0.00002537739,0.000006823871,0.00001479554,0.00002451986,0.000009557078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002179274,0.00007469224,0.00008168924,0.00009372731,0.00001480719,0.0001530021,0.00006536349,0.09996884,0.01101055,0.8751317,0.003657846,0.00972591],"study_design_scores_gemma":[0.00001253397,0.00002805673,0.0001397341,0.000009186906,0.000006981981,0.00008862619,0.00002623783,0.5947773,0.002458625,0.3958041,0.006634828,0.0000137528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1074528,0.004326965,0.6088665,0.00424947,0.001354462,0.0002734418,0.0008027625,0.0007930727,0.2718805],"genre_scores_gemma":[0.6596684,0.003641958,0.06890228,0.000865507,0.0006052351,0.0005672183,0.0007133575,0.0005032076,0.2645328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009692971,"threshold_uncertainty_score":0.03242618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327026074569802,"score_gpt":0.2175493653049484,"score_spread":0.2042791045592504,"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."}}