{"id":"W2044290472","doi":"10.1364/oe.19.000606","title":"Dynamic phase measurement in shearography by clustering method and Fourier filtering","year":2011,"lang":"en","type":"article","venue":"Optics Express","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Shearography; Phase (matter); Speckle pattern; Computer science; Optics; Absolute phase; Phase retrieval; Fourier transform; Electronic speckle pattern interferometry; Continuous phase modulation; Speckle noise; Cluster analysis; Artificial intelligence; Phase noise; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007270835,0.001015682,0.0006963498,0.00208731,0.0006670398,0.0007804969,0.0008638613,0.0009432282,0.001444387],"category_scores_gemma":[0.001095546,0.0004432233,0.0007335519,0.002074994,0.0005461169,0.001440364,0.0006452472,0.0005985381,0.0006798879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007827313,"about_ca_system_score_gemma":0.0006097688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275623,"about_ca_topic_score_gemma":0.002642128,"domain_scores_codex":[0.9992146,0.0001036589,0.00003860369,0.0001942791,0.0003991955,0.00004963188],"domain_scores_gemma":[0.9994511,0.0001259231,0.00007607796,0.00008117261,0.0002449824,0.00002065111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000364552,0.0001489965,0.002344614,0.0003552295,0.00008718546,0.0001561724,0.0003484995,0.05028871,0.3531696,0.009298714,0.001668708,0.5817689],"study_design_scores_gemma":[0.00003959247,0.0002740502,0.00387899,0.00003114345,0.00007847905,0.0003753249,0.0001502671,0.7295671,0.2551426,0.003602855,0.006727682,0.0001320418],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0269714,0.000268499,0.9707119,0.00007572481,0.00004792598,0.00005459654,0.00004893863,0.0005440452,0.00127697],"genre_scores_gemma":[0.1692738,0.0005524469,0.8273104,0.0000454464,0.00004302323,0.00009868301,0.0001763298,0.0001272466,0.002372697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00275623,"threshold_uncertainty_score":0.005679131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07294257223803774,"score_gpt":0.3088663307306632,"score_spread":0.2359237584926254,"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."}}