{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003318125,0.00031596,0.0002087601,0.0006850995,0.0002535946,0.0004533557,0.0004095749,0.000337249,0.001188208],"category_scores_gemma":[0.0006925212,0.0002016793,0.0001857149,0.0004059701,0.0003256528,0.0005198548,0.0004584435,0.0003490085,0.0003856382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003745627,"about_ca_system_score_gemma":0.0002558122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005357152,"about_ca_topic_score_gemma":0.001065367,"domain_scores_codex":[0.9994183,0.00003959851,0.00002199921,0.00007275312,0.0004131932,0.0000341768],"domain_scores_gemma":[0.9992033,0.0001336732,0.0001548703,0.0001575009,0.000310636,0.00004006882],"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":[0.00004595751,0.00001407142,0.001662479,0.00002575872,0.00000426932,0.00003872791,0.00006106448,0.0005550242,0.9784767,0.0006069618,0.0001098624,0.01839913],"study_design_scores_gemma":[0.000006366757,0.0001136162,0.01677136,0.000004905156,0.000007240315,0.0004204756,0.00006445165,0.05056535,0.9301721,0.0003863874,0.001459903,0.00002791825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7290442,0.000357046,0.2646421,0.0001135593,0.00005057006,0.0001040738,0.0003747586,0.0005432839,0.004770341],"genre_scores_gemma":[0.953249,0.0001460214,0.04483394,0.00002567862,0.00001326727,0.00003305959,0.0001557654,0.00008189978,0.001461316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001188208,"threshold_uncertainty_score":0.003974974,"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."}}