{"id":"W2062991127","doi":"10.1121/1.1819393","title":"Development of a laser photothermoacoustic frequency-swept system for subsurface imaging: Theory and experiment","year":2004,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; California HIV/AIDS Research Program","keywords":"Chirp; Laser; Heterodyne (poetry); Materials science; Transducer; Acoustics; SIGNAL (programming language); Optics; Sweep frequency response analysis; Frequency modulation; Modulation (music); Frequency domain; Wavelength; Computer science; Radio frequency; Physics; Telecommunications","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":[0.0006775758,0.0003699174,0.0004697662,0.0002666855,0.000281471,0.0005275895,0.0008090579,0.001095918,0.001073765],"category_scores_gemma":[0.0005958811,0.0004217703,0.0002175706,0.0002628027,0.0008106218,0.001337447,0.0003951387,0.0007772556,0.0004669651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005091322,"about_ca_system_score_gemma":0.0005993462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002900972,"about_ca_topic_score_gemma":0.0002616404,"domain_scores_codex":[0.9997175,0.00004903081,0.00001090492,0.00006934673,0.0001348517,0.00001824684],"domain_scores_gemma":[0.9996308,0.0001965517,0.00003897341,0.00003770946,0.00006936823,0.00002662063],"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":[0.0001266568,0.00007420118,0.0005768006,0.0002998504,0.00001213956,0.0001272959,0.0002316574,0.006966988,0.9189211,0.01900912,0.000346215,0.05330795],"study_design_scores_gemma":[0.00007699083,0.00139114,0.001347034,0.00006483884,0.00002964479,0.0006388071,0.0000816164,0.1911951,0.7846871,0.006717544,0.01366043,0.0001097919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0933837,0.001620526,0.8998467,0.0005958338,0.00009475692,0.0002660295,0.00009597425,0.000826958,0.003269519],"genre_scores_gemma":[0.3775008,0.00119428,0.618699,0.0001089774,0.00004448822,0.0003364621,0.00006789312,0.00004686787,0.00200119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001095918,"threshold_uncertainty_score":0.003693998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006883251754535505,"score_gpt":0.2194012245195758,"score_spread":0.2125179727650403,"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."}}