{"id":"W1997995599","doi":"10.1364/ao.45.002940","title":"Multitaper scan-free spectrum estimation using a rotational shear interferometer","year":2006,"lang":"en","type":"article","venue":"Applied Optics","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Multitaper; Interferometry; Optics; Estimator; Spectral line; Interpolation (computer graphics); Physics; Algorithm; Computer science; Mathematics; Statistics; Artificial intelligence","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":[0.000743248,0.0004377953,0.0004785586,0.000466796,0.000233291,0.0005444838,0.0006497932,0.0005546361,0.001368216],"category_scores_gemma":[0.003276047,0.0002974966,0.0003647319,0.000368887,0.0003500384,0.0009617612,0.0005143807,0.0004847388,0.0003688315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003385486,"about_ca_system_score_gemma":0.000364891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000886113,"about_ca_topic_score_gemma":0.001388552,"domain_scores_codex":[0.9996408,0.0000878278,0.00001260908,0.00005690828,0.000180296,0.00002154884],"domain_scores_gemma":[0.998289,0.0009506046,0.0002521591,0.0001799587,0.0002795696,0.00004861273],"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":[0.001350084,0.000212594,0.007207529,0.0002258257,0.0001623228,0.0002445706,0.0002747867,0.1807019,0.2984325,0.009992223,0.0008848805,0.5003108],"study_design_scores_gemma":[0.00003978498,0.0003303795,0.002571918,0.00001245036,0.00003629183,0.0003093179,0.00003470942,0.9145352,0.07915432,0.001656591,0.001270378,0.00004859635],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06791186,0.00008088795,0.9308186,0.00006237371,0.0000140403,0.0000351208,0.00003192163,0.0004766165,0.0005684867],"genre_scores_gemma":[0.2977726,0.00009021513,0.7012341,0.00002226483,0.00001563824,0.00004010774,0.00006941604,0.0000639967,0.0006916586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001368216,"threshold_uncertainty_score":0.00457716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284232153670962,"score_gpt":0.2329036599975523,"score_spread":0.2200613384608427,"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."}}