{"id":"W1993451256","doi":"10.1007/s11663-011-9479-4","title":"Axisymmetric Shape Analysis of Sessile Droplets: A Metrology for High-Temperature Wetting and Nonwetting Systems","year":2011,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Alabama; Ryerson University","keywords":"Sessile drop technique; Surface tension; Contact angle; Wetting; Laplace's equation; Rotational symmetry; Mechanics; Shape optimization; Work (physics); Materials science; Physics; Mathematics; Mathematical analysis; Thermodynamics; Composite material; Partial differential equation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007854979,0.0001682618,0.0007064083,0.0002573082,0.0002278158,0.0001154966,0.0001068544,0.0001566352,0.001838332],"category_scores_gemma":[0.00004185729,0.0001400832,0.0001001355,0.0005681331,0.0001482869,0.0001696053,0.00001377688,0.0000616374,0.000004477329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000118643,"about_ca_system_score_gemma":0.00001457583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008708991,"about_ca_topic_score_gemma":0.00003231586,"domain_scores_codex":[0.9984723,0.0001899446,0.0005452224,0.0004093821,0.0001395162,0.0002436557],"domain_scores_gemma":[0.9992687,0.0001873933,0.0001609796,0.0001725582,0.0001064177,0.0001039148],"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":[0.0001097888,0.0001194033,0.00002385837,0.0001217535,0.0002760627,0.000002949973,0.0002943777,0.0002524457,0.9973136,0.001290455,0.000002776791,0.0001925083],"study_design_scores_gemma":[0.001958981,0.0003831677,0.01077014,0.00004580501,0.004158686,0.00007545809,0.0008523632,0.02087421,0.9593561,0.0001781073,0.0006662333,0.0006807123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488707,0.0002967418,0.0497862,0.00005500875,0.0003446065,0.0002875151,0.0002716641,0.00005561412,0.00003194524],"genre_scores_gemma":[0.9956757,0.00008403888,0.003908947,0.00003354406,0.00002517653,0.0001009474,0.00002600875,0.00001401022,0.0001316117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04680501,"threshold_uncertainty_score":0.9990741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722815228864687,"score_gpt":0.2312459795887706,"score_spread":0.2040178273001237,"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."}}