{"id":"W2590742355","doi":"10.1021/acsnano.7b00322","title":"Preferential Alignment of Incommensurate Block Copolymer Dot Arrays Forming Moiré Superstructures","year":2017,"lang":"en","type":"article","venue":"ACS Nano","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; National Institute for Nanotechnology; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Alberta Innovates - Technology Futures","keywords":"Materials science; Moiré pattern; Superstructure; Fabrication; Annealing (glass); Copolymer; Nanotechnology; Self-assembly; Hexagonal crystal system; Layer (electronics); Optoelectronics; Crystallography; Optics; Composite material; Polymer; Chemistry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000258863,0.0002714254,0.0003960163,0.00007852079,0.0005997133,0.0002084076,0.001126156,0.0001419806,0.0003981017],"category_scores_gemma":[0.00006204164,0.0002331077,0.00009383438,0.00005580019,0.0002111075,0.0004328491,0.0005270952,0.000101204,0.00007964735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005684756,"about_ca_system_score_gemma":0.00009756949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009142797,"about_ca_topic_score_gemma":0.0001598986,"domain_scores_codex":[0.9980507,0.00007146079,0.0004510853,0.0004234218,0.0004889061,0.0005143696],"domain_scores_gemma":[0.9980553,0.00005788153,0.0004267545,0.001239655,0.00009246476,0.0001279719],"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":[0.00005466006,0.00005764529,0.001200894,0.00003251062,0.00003350572,0.000003800455,0.0004581563,0.000006105308,0.9953293,0.0008379312,0.001376596,0.0006089038],"study_design_scores_gemma":[0.0008059351,0.0001022349,0.001665677,0.0000468334,0.00005710845,0.00001479444,0.0001006219,0.00001551693,0.9954334,0.0003711217,0.001123926,0.0002628209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937562,0.000202223,0.00004528557,0.0003114005,0.001353097,0.0002308824,0.00005638576,0.00006910277,0.003975444],"genre_scores_gemma":[0.9986031,0.00001814609,0.0006769849,0.0001067801,0.0001982633,0.00002170967,0.00000735438,0.00003414248,0.0003334887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004846952,"threshold_uncertainty_score":0.9505857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702811038229885,"score_gpt":0.2582546752479007,"score_spread":0.2412265648656019,"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."}}