{"id":"W4327553838","doi":"10.1002/adem.202201707","title":"Focussed Helium Ion Beam Exposure of Polymethylmethacrylate: Positive or Negative Tone Images, Polyenes, and Fluorescent Carbon Layers","year":2023,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; University of Ottawa","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; CMC Microsystems","keywords":"Materials science; Ion beam lithography; Nanolithography; Fluorescence; Raman scattering; Helium; Polymer; Carbon fibers; Nanotechnology; Raman spectroscopy; Ion beam; Dissolution; Lithography; Ion; Optoelectronics; Beam (structure); Optics; Chemical engineering; Resist; Composite number; Fabrication; Organic chemistry; Composite material; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001398715,0.0002778334,0.0004463249,0.0002835913,0.000039789,0.00003956513,0.00009578467,0.00009652761,0.00004193126],"category_scores_gemma":[0.00007514451,0.0002550647,0.00005946494,0.0005135745,0.00002617422,0.0002067714,0.00004941747,0.0001027884,0.000007319504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006998077,"about_ca_system_score_gemma":0.00001070841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001690396,"about_ca_topic_score_gemma":0.0000052586,"domain_scores_codex":[0.9988425,0.00002381006,0.0003976706,0.0002382165,0.0001537753,0.0003439714],"domain_scores_gemma":[0.9994251,0.0001508614,0.00006868354,0.0002119277,0.00006105025,0.00008239223],"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":[0.00005417122,0.000009184376,0.00001537872,0.000134269,0.0001243255,0.00001428919,0.0001994677,0.1398797,0.857838,0.00001146991,0.00002063617,0.001699084],"study_design_scores_gemma":[0.0004272897,0.00008094425,0.002039506,0.0001907297,0.00005119817,0.000007039212,0.0002064083,0.004066921,0.9925696,0.00001791572,0.00005878137,0.0002836417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968832,0.0005504359,0.0007798657,0.00004797071,0.0008760978,0.0001938378,0.000171239,0.0004592599,0.00003813957],"genre_scores_gemma":[0.9966101,0.0008401421,0.002159239,0.000005628894,0.00008947505,0.00004144123,0.00004827938,0.0000760306,0.0001296532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1358128,"threshold_uncertainty_score":0.9999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004796784430893551,"score_gpt":0.2262540512266396,"score_spread":0.2214572667957461,"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."}}