{"id":"W1980972185","doi":"10.1364/ao.49.003566","title":"Quantitative photoacoustic tomography with multiple optical sources","year":2010,"lang":"en","type":"article","venue":"Applied Optics","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Optics; Photoacoustic imaging in biomedicine; Photoacoustic tomography; Materials science; Photoacoustic effect; Absorption (acoustics); Attenuation coefficient; Diffuse optical imaging; Image resolution; Photoacoustic spectroscopy; Optical tomography; Optical imaging; Resolution (logic); Tomography; Computer science; 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":[0.00009742629,0.0002310025,0.0002091703,0.00009450182,0.00009560215,0.00006540026,0.0001817763,0.00009871722,0.00003803803],"category_scores_gemma":[0.00003701864,0.0001997585,0.00004350626,0.000251526,0.0002057716,0.00006516027,0.0000216065,0.0005216288,0.00004545641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001343032,"about_ca_system_score_gemma":0.00002329379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005561701,"about_ca_topic_score_gemma":0.00002507595,"domain_scores_codex":[0.9989739,0.000003076399,0.000176557,0.0002166152,0.0002084505,0.0004214125],"domain_scores_gemma":[0.9992056,0.0003145841,0.00002632669,0.0002685951,0.00004218411,0.0001427492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001022295,0.0001288224,0.001620564,0.0001449654,0.0002382244,0.00003911574,0.00128434,0.07058794,0.8916493,0.03168866,0.0003847938,0.00213106],"study_design_scores_gemma":[0.001973873,0.0001535507,0.003067883,0.00004686169,0.0002615873,0.00008767346,0.00270892,0.8412521,0.1466109,0.001015739,0.00161066,0.001210303],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8207335,0.00003820056,0.1486884,0.00001291249,0.0002566824,0.000243064,0.00001799487,0.0004858776,0.02952338],"genre_scores_gemma":[0.9007392,0.000009295513,0.09898621,0.00005353928,0.00007361792,0.00004748125,0.00001042582,0.00005858676,0.00002162868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7706642,"threshold_uncertainty_score":0.8145915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004984189943010794,"score_gpt":0.190415238973409,"score_spread":0.1854310490303983,"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."}}