{"id":"W4385987308","doi":"10.32920/23989452.v1","title":"Dynamic phase measurement in shearography by clustering method and Fourier filtering","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"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; Fourier transform; Absolute phase; Cluster analysis; Artificial intelligence; Continuous phase modulation; Short-time Fourier transform; Phase retrieval; Optics; Computer vision; Mathematics; Physics; Fourier analysis","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":[0.0007068884,0.0009126976,0.0006568125,0.001785515,0.0005984434,0.0007879508,0.0008367231,0.0009807191,0.001577715],"category_scores_gemma":[0.001082671,0.0004494075,0.0006474091,0.001834965,0.0005525402,0.001508502,0.0006232042,0.0005703434,0.0006642377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007998046,"about_ca_system_score_gemma":0.0006219237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002852769,"about_ca_topic_score_gemma":0.002909298,"domain_scores_codex":[0.9992504,0.00009845184,0.0000369924,0.0001813928,0.0003842023,0.00004860681],"domain_scores_gemma":[0.9994568,0.0001296661,0.0000750968,0.00008418315,0.0002339657,0.00002032123],"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":[0.0003751653,0.000141715,0.001881137,0.0002855117,0.000068159,0.0001479733,0.0002694106,0.0372555,0.4234573,0.007711515,0.001457418,0.5269493],"study_design_scores_gemma":[0.00004358225,0.0003048245,0.003883793,0.00002880416,0.00007676736,0.0003855203,0.0001287505,0.6601184,0.3249431,0.00290023,0.007063658,0.0001225686],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03531683,0.0003180273,0.9619156,0.00009429028,0.00005568987,0.00005821956,0.00005729547,0.0005984925,0.001585462],"genre_scores_gemma":[0.1869709,0.0005803654,0.8091649,0.00005255632,0.00003999716,0.00009136114,0.0001717015,0.000125484,0.002802757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002852769,"threshold_uncertainty_score":0.005802989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09927734601612172,"score_gpt":0.363177289639538,"score_spread":0.2638999436234163,"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."}}