{"id":"W4200429251","doi":"10.3390/mi12121583","title":"Static and Dynamic Optical Analysis of Micro Wrinkle Formation on a Liquid Surface","year":2021,"lang":"en","type":"article","venue":"Micromachines","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Arts and Humanities Research Board; Arts and Humanities Research Council; University of Nottingham; University of Glasgow; Trent University; Nottingham Trent University","keywords":"Wrinkle; Millisecond; Materials science; Diffraction; Optics; Electrohydrodynamics; Surface tension; Voltage; Viscosity; Amplitude; Deformation (meteorology); Mechanics; Composite material; Physics; Electric field; Thermodynamics","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":[0.00008563216,0.0001464797,0.00009471978,0.0002506724,0.0001671935,0.0001721873,0.0001499111,0.0001428332,0.001216708],"category_scores_gemma":[0.0001960398,0.00008545367,0.00008843522,0.0002062513,0.0002043348,0.0002100917,0.0001079212,0.0002674285,0.0001120232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002271302,"about_ca_system_score_gemma":0.0001234392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008412708,"about_ca_topic_score_gemma":0.001169398,"domain_scores_codex":[0.9999139,0.000005359607,0.000003068172,0.00001982122,0.00003709368,0.00002073823],"domain_scores_gemma":[0.9998018,0.00006250408,0.00003912532,0.00001845518,0.00005274059,0.00002536641],"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":[0.00002524645,0.00001230649,0.0002824117,0.00001443344,0.000001453108,0.00002985439,0.00002122884,0.0001671153,0.9977017,0.00006596933,0.00001998814,0.00165839],"study_design_scores_gemma":[0.000009159196,0.0001721568,0.01357131,0.000002500787,0.000004836325,0.0001106137,0.00007040252,0.008358394,0.9771478,0.00007126576,0.0004731068,0.000008247871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954787,0.0001254602,0.003254158,0.00001884597,0.000006172498,0.00001304064,0.0001042815,0.0000410736,0.0009582088],"genre_scores_gemma":[0.9962505,0.0001033737,0.002613757,0.0000136369,0.000006215944,0.00001531481,0.00008659361,0.000007775348,0.0009029821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001216708,"threshold_uncertainty_score":0.004070282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004576197443484759,"score_gpt":0.2237885549314838,"score_spread":0.2192123574879991,"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."}}