{"id":"W2406919446","doi":"10.1021/acs.langmuir.6b01213","title":"Electric-Field-Induced Nanoscale Surface Patterning in Mexylaminotriazine-Functionalized Molecular Glass Derivatives","year":2016,"lang":"en","type":"article","venue":"Langmuir","topic":"Fluid Dynamics and Thin Films","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Defence Academy","keywords":"Electric field; Materials science; Deformation (meteorology); Surface roughness; Polarity (international relations); Chemical physics; Polarity reversal; Nanoscopic scale; Deposition (geology); Thin film; Polar; Glass transition; Condensed matter physics; Nanotechnology; Composite material; Chemistry; Voltage; Polymer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007083003,0.0002558951,0.0001445636,0.0001331935,0.00009933983,0.0001491023,0.0001467426,0.0001952062,0.0007662431],"category_scores_gemma":[0.0001550612,0.0001810559,0.0001575423,0.0001113431,0.0001913515,0.0001499607,0.0001388385,0.0002771074,0.0001355174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001538212,"about_ca_system_score_gemma":0.00008488516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004587592,"about_ca_topic_score_gemma":0.0007325544,"domain_scores_codex":[0.9999405,0.000006057126,0.000003477784,0.0000125611,0.00001697278,0.00002046861],"domain_scores_gemma":[0.9998999,0.00002850198,0.00003612139,0.00000995359,0.00001123815,0.00001429653],"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":[0.000014969,0.000002165242,0.00003843441,0.00001011839,0.000001438582,0.00002659158,0.000008164006,0.00001954003,0.9996787,0.0000102243,0.000004076765,0.0001855923],"study_design_scores_gemma":[0.000003515565,0.00005636868,0.00180977,0.000001521387,0.000004017126,0.00005410294,0.00001004079,0.0003294694,0.9975761,0.000006938476,0.000146199,0.00000196088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987173,0.0001921633,0.0006297235,0.00002589713,0.000007815831,0.000006246186,0.00003990506,0.0000227154,0.0003582859],"genre_scores_gemma":[0.9979848,0.0002289624,0.001009237,0.00001910222,0.000004278295,0.00001173301,0.00005579547,0.00001104859,0.0006750468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007662431,"threshold_uncertainty_score":0.002563357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007188597901288266,"score_gpt":0.2033885690682769,"score_spread":0.1961999711669886,"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."}}