{"id":"W2406400540","doi":"10.1021/acs.langmuir.6b01810","title":"Thermo-Electrohydrodynamic Patterning in Nanofilms","year":2016,"lang":"en","type":"article","venue":"Langmuir","topic":"Fluid Dynamics and Thin Films","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Electrohydrodynamics; Nanotechnology; Materials science; Chemistry; Physics; Electric field","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":[0.00006010392,0.00009493504,0.00009782188,0.00007322289,0.00001545989,0.00001101051,0.000111186,0.00005355601,0.00009331962],"category_scores_gemma":[0.000003884493,0.00006623895,0.00002917957,0.00009975477,0.00001096653,0.00006090408,0.00001668662,0.00006716614,0.0001755479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005355163,"about_ca_system_score_gemma":0.000003227698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002369883,"about_ca_topic_score_gemma":0.00007508634,"domain_scores_codex":[0.9994596,0.000009692334,0.0001098733,0.0001073127,0.00006910847,0.0002444263],"domain_scores_gemma":[0.9998153,0.00002008456,0.000009052419,0.0001258423,0.000004995344,0.00002467238],"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":[0.000008021072,0.0000251329,0.02117163,0.0000514039,0.0000380305,0.00007658485,0.000466807,0.0009344967,0.9297076,0.006086558,0.001554302,0.03987941],"study_design_scores_gemma":[0.003731222,0.0001366132,0.3813231,0.0004777644,0.00002327768,0.00007048993,0.00007016184,0.544821,0.0296292,0.005998883,0.03177715,0.001941156],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988473,0.0001556759,0.001471775,0.0001216266,0.0002576397,0.00004884197,0.000008152423,0.0002242165,0.009239077],"genre_scores_gemma":[0.9991524,0.00003733713,0.00007634925,0.0000431535,0.00005756746,0.00001101834,0.000004958831,0.00003272415,0.0005844823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9000784,"threshold_uncertainty_score":0.2701146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001888891999511796,"score_gpt":0.1444680639803411,"score_spread":0.1425791719808293,"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."}}