{"id":"W2972211008","doi":"10.1021/acsami.9b12943","title":"Precise Control of Lyotropic Chromonic Liquid Crystal Alignment through Surface Topography","year":2019,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Liquid Crystal Research Advancements","field":"Materials Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Max-Planck-Gesellschaft; Alexander von Humboldt-Stiftung","keywords":"Homeotropic alignment; Nanopillar; Materials science; Liquid crystal; Nanotechnology; Lyotropic; Nanolithography; Nanomanufacturing; Nanostructure; Lithography; Optoelectronics; Fabrication; Liquid crystalline","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":[0.0001358388,0.0002620504,0.0001595116,0.0001316255,0.0001381514,0.0004684763,0.0002547437,0.000208907,0.0006727662],"category_scores_gemma":[0.0002921776,0.0001803935,0.00007214322,0.0001509132,0.0003506628,0.0003273161,0.0002810406,0.0003590818,0.0003214448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000249029,"about_ca_system_score_gemma":0.0002514485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00039476,"about_ca_topic_score_gemma":0.001045394,"domain_scores_codex":[0.9998955,0.0000124595,0.000008870293,0.00002795217,0.00003546876,0.00001982106],"domain_scores_gemma":[0.9997966,0.00005394886,0.00007520656,0.0000302051,0.00002612167,0.00001798536],"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":[0.00001122876,0.000008021889,0.0001037595,0.00001451309,0.000001035692,0.00001580783,0.00001122036,0.000163279,0.9971476,0.0003197634,0.00004423329,0.002159554],"study_design_scores_gemma":[0.000009952273,0.0000342753,0.0006705195,0.000001518896,0.000002154813,0.00003640019,0.00001161555,0.004047047,0.9939315,0.00008059056,0.001168308,0.000006131389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947094,0.0008709237,0.04460314,0.0002549614,0.00009409233,0.00007116591,0.0002595209,0.0004465048,0.00630585],"genre_scores_gemma":[0.9782888,0.0005110685,0.01972475,0.0000692448,0.00002716039,0.00004488441,0.00009088855,0.0000498068,0.001193395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006727662,"threshold_uncertainty_score":0.002250612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120715060593533,"score_gpt":0.2625211772779509,"score_spread":0.2513140266720156,"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."}}