{"id":"W4383215532","doi":"10.1088/1361-6439/ace453","title":"Crosstalk-free large aperture electromagnetic 2D micromirror for LiDAR application","year":2023,"lang":"en","type":"article","venue":"Journal of Micromechanics and Microengineering","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Digital micromirror device; Optics; Crosstalk; Materials science; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002045641,0.0002036939,0.0002942292,0.0002892151,0.00008276488,0.00004364352,0.00026843,0.000145401,0.000002503845],"category_scores_gemma":[0.00006862734,0.0001965944,0.0001112148,0.0002886817,0.00001308532,0.0001254386,0.00007412236,0.000268969,0.000003956806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005580455,"about_ca_system_score_gemma":0.00001249269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.166625e-7,"about_ca_topic_score_gemma":0.000002792453,"domain_scores_codex":[0.9990016,0.000001734072,0.0003521789,0.0001430916,0.00008031183,0.000421099],"domain_scores_gemma":[0.9994778,0.00006979953,0.00008818104,0.0002116228,0.00007910043,0.00007348649],"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":[0.00001130972,0.0000104363,8.136879e-7,0.0001595935,0.00004109236,0.000008732362,0.00007353351,0.0001636061,0.9940636,0.0003619556,0.001730039,0.003375284],"study_design_scores_gemma":[0.001898295,0.0003441421,0.00009376284,0.0001458558,0.00005776849,0.0003819323,0.0002424427,0.01337303,0.7728838,0.003739897,0.2063973,0.0004417434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9095262,0.005021683,0.0841819,0.0001993064,0.0003442266,0.0002586049,0.00008252291,0.0003757234,0.000009824659],"genre_scores_gemma":[0.9140196,0.01063312,0.07442049,0.00009796612,0.0002760635,0.00006585962,0.00003135445,0.0002229228,0.0002326373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2211798,"threshold_uncertainty_score":0.8016886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004324356302885233,"score_gpt":0.2052325264152488,"score_spread":0.2009081701123635,"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."}}