{"id":"W2099025359","doi":"10.1109/isot.2010.5687314","title":"Dynamic phase measurement by clustering method","year":2010,"lang":"en","type":"article","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":"","keywords":"Computer science; Cluster analysis; Phase retrieval; Speckle noise; Speckle pattern; Shearography; Phase (matter); Robustness (evolution); Metrology; Phase noise; Holography; Interferometry; Artificial intelligence; Computer vision; Fourier transform; Algorithm; Optics; Mathematics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000926799,0.0001205421,0.0001161857,0.00005591983,0.00005869189,0.0001666885,0.0007770662,0.00005755013,0.0001682151],"category_scores_gemma":[0.00006893567,0.00009569505,0.00004703462,0.0001238386,0.00002190441,0.0003727157,0.0001750634,0.0002177853,0.00005344557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003768225,"about_ca_system_score_gemma":0.00002462135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002205749,"about_ca_topic_score_gemma":0.00007804138,"domain_scores_codex":[0.9988117,0.00003362395,0.0001859361,0.0002943418,0.0004331179,0.0002412455],"domain_scores_gemma":[0.9992449,0.00002001652,0.00003515689,0.0004494218,0.0001432849,0.0001071686],"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":[0.000002710285,0.0001079533,0.000006598527,0.000003533161,0.00000625836,6.833065e-7,0.00002901421,1.841607e-7,0.8579434,0.01088656,0.002679513,0.1283337],"study_design_scores_gemma":[0.0005919654,0.0004172477,0.00003398844,0.00002077251,0.000007109034,0.000008846348,0.00001005538,0.3680758,0.6101012,0.004751687,0.01563397,0.0003472769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001099388,0.00001713439,0.9576094,0.001034421,0.0003310148,0.0001313748,5.481855e-7,0.000517386,0.03925933],"genre_scores_gemma":[0.5936229,0.000002007345,0.4059353,0.0002248993,0.000009051086,0.000015207,4.001978e-7,0.000004565673,0.0001856193],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5925235,"threshold_uncertainty_score":0.3902331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03994460045719863,"score_gpt":0.3399363754641455,"score_spread":0.2999917750069468,"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."}}