{"id":"W1973783779","doi":"10.1039/c4sm02477j","title":"Electrohydrodynamic patterning of ultra-thin ionic liquid films","year":2015,"lang":"en","type":"article","venue":"Soft Matter","topic":"Fluid Dynamics and Thin Films","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Electrohydrodynamics; Materials science; Electric field; Discretization; Dielectric; Thin film; Ionic bonding; Voltage; Polymer; Nanotechnology; Composite material; Ion; Optoelectronics; Chemistry; Electrical engineering; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001412696,0.0001521668,0.0001836696,0.00008564636,0.00001831126,0.00002086537,0.0001775633,0.00008445544,0.0003181686],"category_scores_gemma":[0.00001144196,0.0001497275,0.00006625422,0.0001135563,0.00002607884,0.00009752397,0.00002231487,0.0001935072,0.0005866897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004330836,"about_ca_system_score_gemma":0.00001765015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003501306,"about_ca_topic_score_gemma":0.000009221961,"domain_scores_codex":[0.999144,0.0000158872,0.0002416558,0.0001446938,0.000168164,0.0002855569],"domain_scores_gemma":[0.9995664,0.00002378953,0.00003306412,0.0002567675,0.00003566592,0.00008424884],"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":[0.00008072327,0.00009504242,0.01293369,0.0004859392,0.0002502505,0.00003954541,0.002466566,0.2253915,0.6902034,0.0009462709,0.06644222,0.0006648877],"study_design_scores_gemma":[0.0009468142,0.0002549956,0.00227967,0.0001398509,0.00004342032,0.00005728737,0.00008819523,0.9469569,0.04529743,0.001143241,0.002054125,0.0007380195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831381,0.0002488891,0.007445719,0.000117754,0.0005179739,0.00008756664,0.00001474368,0.0001905891,0.008238632],"genre_scores_gemma":[0.9986469,0.000009635905,0.0004119366,0.0002543332,0.00004423624,0.000009372218,0.00003024335,0.00005536744,0.000538036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7215654,"threshold_uncertainty_score":0.7540904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006703750972571699,"score_gpt":0.1928610726657819,"score_spread":0.1861573216932102,"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."}}