{"id":"W2003253815","doi":"10.1103/physrevlett.107.165901","title":"Thermal Coherence Tomography Using Match Filter Binary Phase Coded Diffusion Waves","year":2011,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Institute for Advanced Research","funders":"","keywords":"Physics; Axial symmetry; Tomography; Deconvolution; Diffusion; Optics; Coherence (philosophical gambling strategy); Phase (matter); Energy (signal processing); Binary number; Computational physics; Filter (signal processing); Acoustics; Computer science","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":[0.0003968611,0.0002968093,0.0002277854,0.0003852125,0.0001370198,0.000783978,0.0003469239,0.0006456877,0.0007471086],"category_scores_gemma":[0.001261515,0.0002689063,0.0001144661,0.0005016183,0.0004932149,0.001007897,0.0005733135,0.0003086898,0.0001615885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006009217,"about_ca_system_score_gemma":0.0004041132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008010856,"about_ca_topic_score_gemma":0.001166581,"domain_scores_codex":[0.9998041,0.00004030737,0.000008116848,0.00004162988,0.00008780864,0.00001802554],"domain_scores_gemma":[0.999698,0.0001219166,0.00007854445,0.00003823252,0.00004257639,0.00002079935],"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":[0.0005740238,0.00008028035,0.001201489,0.0001616162,0.00002721163,0.000141015,0.0001076241,0.01484094,0.9116786,0.01554676,0.0005028342,0.05513771],"study_design_scores_gemma":[0.0001470065,0.0002295046,0.001878111,0.0000228649,0.00003305113,0.0003731951,0.0000444551,0.3232237,0.6669494,0.004308802,0.002731801,0.00005805286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5344355,0.0006578587,0.4602403,0.0005785123,0.00004686698,0.00008352178,0.0002035545,0.0003991685,0.003354656],"genre_scores_gemma":[0.7055631,0.0004626928,0.291824,0.0001146045,0.00001886513,0.00006716265,0.00009442015,0.00003820366,0.00181704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008010856,"threshold_uncertainty_score":0.00436002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650130109078671,"score_gpt":0.2661382168853056,"score_spread":0.2396369157945189,"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."}}