{"id":"W2114715622","doi":"10.1557/opl.2014.58","title":"Submicron displacement measurements of MEMS using optical microphotographs in aqueous media: Enhancement using color image processing","year":2014,"lang":"en","type":"article","venue":"MRS Proceedings","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Materials science; Microelectromechanical systems; RGB color model; Displacement (psychology); Nanometre; Fast Fourier transform; Aqueous medium; Optics; Acoustics; Optoelectronics; Aqueous solution; Computer science; Composite material; Artificial intelligence; Algorithm","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":[0.0001926659,0.0004227893,0.0001468667,0.0003509896,0.0004206223,0.0004238381,0.0003922206,0.0005649296,0.002681042],"category_scores_gemma":[0.0004913681,0.0002839735,0.00009138308,0.0003611685,0.0004343267,0.00059539,0.0002475027,0.0004703155,0.0003717504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005691254,"about_ca_system_score_gemma":0.0003679426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003128289,"about_ca_topic_score_gemma":0.008726942,"domain_scores_codex":[0.9998195,0.00001889194,0.00001184358,0.00003030366,0.00008993102,0.0000296464],"domain_scores_gemma":[0.9996873,0.0001437616,0.00005246042,0.00002189841,0.00007512043,0.00001955894],"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":[0.00004180941,0.00001385445,0.0002141245,0.00003177708,0.000001902772,0.00003930223,0.00005314651,0.00005457355,0.9972522,0.0001220168,0.00008003903,0.002095256],"study_design_scores_gemma":[0.000005064203,0.00004996111,0.002905957,0.00000413195,0.000003867567,0.00005034884,0.00006351888,0.00125468,0.9950759,0.00003838898,0.0005425085,0.000005683264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733314,0.0007657485,0.0199381,0.0003431094,0.00007751589,0.00006262067,0.0003695143,0.0002835911,0.004828498],"genre_scores_gemma":[0.9677579,0.0007089392,0.02670514,0.0001466415,0.00003071335,0.00007884189,0.000125394,0.00005862648,0.004387863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003128289,"threshold_uncertainty_score":0.008969009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201883063588828,"score_gpt":0.25159918910189,"score_spread":0.2295803584660017,"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."}}