{"id":"W4387775672","doi":"10.3390/mi14101954","title":"Cascaded 2D Micromirror with Application to LiDAR","year":2023,"lang":"en","type":"article","venue":"Micromachines","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Optics; Torsion (gastropod); Materials science; Numerical aperture; Robustness (evolution); Engineering; Physics; Wavelength","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":[0.0003440767,0.0005925202,0.000455566,0.0004121953,0.0002190486,0.0002796254,0.0008327343,0.0006264084,0.0009971301],"category_scores_gemma":[0.000410227,0.0005564637,0.0005896723,0.000234789,0.0002808398,0.0005803915,0.0006512744,0.0004612401,0.0003075935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003851488,"about_ca_system_score_gemma":0.0002537174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004385417,"about_ca_topic_score_gemma":0.0009852528,"domain_scores_codex":[0.999398,0.00004775549,0.00003270497,0.0001409936,0.0003184047,0.0000620674],"domain_scores_gemma":[0.9997444,0.00006643606,0.00006262602,0.00005181591,0.00005239911,0.0000224035],"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":[0.00004933574,0.00001775639,0.0002607465,0.0001110794,0.000009811606,0.0001755039,0.00004980821,0.002166598,0.9807132,0.001024778,0.0001211132,0.01530026],"study_design_scores_gemma":[0.00004541654,0.0008396333,0.001694984,0.00002104935,0.00003276085,0.001417765,0.00003484931,0.07046964,0.9138436,0.000381387,0.011153,0.00006582192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.578285,0.004977396,0.4022837,0.0002569551,0.0004453901,0.0002313486,0.0001674795,0.001425449,0.01192728],"genre_scores_gemma":[0.6843697,0.0008781443,0.3122272,0.00007669738,0.00006992799,0.00007265032,0.00005945639,0.00003761874,0.002208717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009971301,"threshold_uncertainty_score":0.003335714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005779638673388152,"score_gpt":0.2274333084059665,"score_spread":0.2216536697325783,"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."}}