{"id":"W2252390091","doi":"10.1088/0957-4484/27/8/085301","title":"Structural colour printing from a reusable generic nanosubstrate masked for the target image","year":2016,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Western Economic Diversification Canada; Simon Fraser University; Eli Lilly and Company","keywords":"Materials science; Pixel; Structural coloration; Lithography; Fabrication; Layer (electronics); Nanoimprint lithography; Substrate (aquarium); Grating; Optoelectronics; Computer science; Optics; Nanotechnology; Artificial intelligence; Photonic crystal","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":[0.0001154151,0.0001616445,0.0001767539,0.0001242665,0.0001158228,0.00002492652,0.0004312776,0.0002585142,0.0001052054],"category_scores_gemma":[0.00007612103,0.00009743797,0.00008913506,0.0002906953,0.0001351782,0.00009011055,0.00005164941,0.0001268699,0.00001928253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004248769,"about_ca_system_score_gemma":0.00001478528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001869309,"about_ca_topic_score_gemma":0.000007983669,"domain_scores_codex":[0.9991048,0.00001525222,0.0002386265,0.0002296726,0.00007513699,0.0003365105],"domain_scores_gemma":[0.9992213,0.0001578123,0.00006506481,0.0004685898,0.0000584473,0.00002883537],"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":[0.00001279884,0.00000537012,0.0007280745,0.00001218927,0.00006240316,0.000001996349,0.00003386582,0.00002999335,0.9441218,0.004460793,0.002563039,0.04796768],"study_design_scores_gemma":[0.0005185443,0.00004720205,0.001324769,0.00001881357,0.00002253547,0.000008135586,0.00004144515,0.006024078,0.8656568,0.01700192,0.1090764,0.0002593895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6270981,0.000789712,0.3642686,0.003114539,0.0004751178,0.0007515653,0.0001004219,0.003089414,0.0003125867],"genre_scores_gemma":[0.9067339,0.000126464,0.09254023,0.00007179414,0.00006384377,0.0002582119,0.000006184238,0.00003795378,0.0001614224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2796358,"threshold_uncertainty_score":0.3973405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092579074902086,"score_gpt":0.2178257765291027,"score_spread":0.2068999857800818,"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."}}