{"id":"W4214566331","doi":"10.1088/1361-6439/ac58df","title":"A position sensing method for 2D scanning mirrors","year":2022,"lang":"en","type":"article","venue":"Journal of Micromechanics and Microengineering","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Position (finance); Optics; Lidar; Vibration; Rotation (mathematics); Orientation (vector space); Detector; Measure (data warehouse); Physics; Acoustics; Computer science; Geometry; Mathematics","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":[0.0004239168,0.0006035802,0.0005149311,0.0008744639,0.0003716022,0.000634783,0.001165338,0.0008082815,0.002619021],"category_scores_gemma":[0.001177209,0.0006751543,0.0003718235,0.0004852925,0.0004866279,0.001212953,0.0007264882,0.0006093862,0.0008963955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000539079,"about_ca_system_score_gemma":0.0004721653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005402471,"about_ca_topic_score_gemma":0.0007510383,"domain_scores_codex":[0.9983772,0.0001449009,0.00006189795,0.0003016292,0.001067121,0.00004722084],"domain_scores_gemma":[0.9990671,0.0002132823,0.0001505364,0.0001865222,0.00034919,0.00003336544],"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":[0.00009185651,0.00003461493,0.000521803,0.0002111587,0.00001869224,0.0001533428,0.0001400273,0.001845683,0.8449446,0.004334131,0.0008924315,0.1468116],"study_design_scores_gemma":[0.00006418359,0.0005354045,0.00276968,0.00004473768,0.00003530517,0.002121926,0.00008373912,0.1259812,0.8430727,0.001458803,0.02365061,0.0001817021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05407136,0.001420059,0.9371997,0.000295598,0.0004911426,0.000220279,0.0001527531,0.001362388,0.004786833],"genre_scores_gemma":[0.2713999,0.0005059681,0.7224756,0.0001555182,0.0001340226,0.0001607232,0.00009653242,0.00006674921,0.005004916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002619021,"threshold_uncertainty_score":0.008761525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377201431355472,"score_gpt":0.2502876001893719,"score_spread":0.2365155858758171,"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."}}