{"id":"W2168738106","doi":"10.1109/commad.2006.4429919","title":"Adaptive MOEMS for Dynamic Beam Focusing","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Deformable mirror; Optics; Microelectromechanical systems; Optical path; Computer science; Instrumentation (computer programming); Voltage; Adaptive optics; Laser; Beam (structure); Path (computing); Focal point; Laser beams; Electronic engineering; Cardinal point; Physics; Engineering; Optoelectronics; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001572514,0.000328233,0.0001681389,0.0001765865,0.0002122596,0.0003369547,0.0004801034,0.0004107109,0.002296885],"category_scores_gemma":[0.0002482767,0.0001782212,0.0001855639,0.0001323046,0.0002117654,0.0003114405,0.0003204614,0.0004316266,0.0005095243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002922135,"about_ca_system_score_gemma":0.0001382579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002879424,"about_ca_topic_score_gemma":0.0005906437,"domain_scores_codex":[0.999873,0.00001143889,0.000004384805,0.00002336923,0.00007185616,0.00001587836],"domain_scores_gemma":[0.9999033,0.00003712836,0.00001605694,0.00001372626,0.00002254777,0.000007171207],"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":[0.0000524841,0.00002050426,0.0002156287,0.0001551095,0.00001287841,0.000121919,0.0000490721,0.004777233,0.952445,0.0114754,0.0008271651,0.02984757],"study_design_scores_gemma":[0.00003741854,0.0002131137,0.001059632,0.00002947928,0.00002277969,0.0005032356,0.00002740548,0.08176661,0.8685723,0.002595788,0.04513111,0.00004115651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3973118,0.008905172,0.564519,0.0004719605,0.0005265587,0.000303237,0.0002989919,0.001895041,0.02576819],"genre_scores_gemma":[0.7794882,0.001972798,0.2076759,0.0001521176,0.00004960495,0.000209723,0.0001196098,0.00007120566,0.01026086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002296885,"threshold_uncertainty_score":0.007683873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006243931822014133,"score_gpt":0.2062968546792319,"score_spread":0.2000529228572178,"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."}}