{"id":"W2886067508","doi":"10.1177/1687814018789781","title":"A tilt compensation system for translation micromirror","year":2018,"lang":"en","type":"article","venue":"Advances in Mechanical Engineering","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Tilt (camera); Digital micromirror device; Translation (biology); Compensation (psychology); Optics; Rotation (mathematics); Physics; Computer science; Engineering; Computer vision; Chemistry; Mechanical 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":[0.000473085,0.0007630178,0.0007612739,0.0007240939,0.0007039527,0.0005827628,0.001033952,0.0007551159,0.003747558],"category_scores_gemma":[0.0008375256,0.0005318398,0.0003439626,0.0004866027,0.0003744562,0.0006942175,0.0007014283,0.00109095,0.001909566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007141468,"about_ca_system_score_gemma":0.0009686785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008677908,"about_ca_topic_score_gemma":0.0008594946,"domain_scores_codex":[0.998812,0.00006908426,0.00008724079,0.0002746239,0.0006486484,0.0001083824],"domain_scores_gemma":[0.9992959,0.00006377951,0.00009215043,0.0001726625,0.0003197173,0.00005569562],"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":[0.0001673264,0.00002182958,0.000534285,0.0001780818,0.00001347238,0.0001350758,0.000089096,0.000382229,0.9447102,0.001766649,0.001842279,0.05015939],"study_design_scores_gemma":[0.00004902749,0.0003020207,0.002268181,0.00001868649,0.00004015284,0.001032047,0.00003196843,0.01049392,0.9585251,0.000235521,0.02691406,0.00008942404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2299477,0.004061786,0.7312768,0.0006063864,0.00220391,0.0008065125,0.0008813082,0.01195949,0.01825605],"genre_scores_gemma":[0.5815471,0.001064163,0.4034678,0.0004300767,0.0003466159,0.0004007425,0.001001415,0.0004087084,0.01133334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003747558,"threshold_uncertainty_score":0.01253682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252906819625692,"score_gpt":0.2468189071787865,"score_spread":0.2342898389825296,"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."}}