{"id":"W2585960605","doi":"10.1364/oe.25.002771","title":"Deconvolution based photoacoustic reconstruction with sparsity regularization","year":2017,"lang":"en","type":"article","venue":"Optics Express","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Deconvolution; Tikhonov regularization; Algorithm; Iterative reconstruction; Blind deconvolution; Computation; Regularization (linguistics); Computer science; Mathematics; Optics; Inverse problem; Artificial intelligence; Physics; Mathematical analysis","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":[0.0006084426,0.0005473146,0.0004333922,0.0003421576,0.0001903656,0.0004694982,0.0005037356,0.0007101112,0.0008448421],"category_scores_gemma":[0.001302636,0.0002914417,0.0005820286,0.0004528362,0.000534637,0.0008550843,0.0008137515,0.00074848,0.0004852037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002574236,"about_ca_system_score_gemma":0.0008005007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074622,"about_ca_topic_score_gemma":0.001030285,"domain_scores_codex":[0.9996994,0.00006633077,0.00001585632,0.00004739958,0.0001474308,0.00002363559],"domain_scores_gemma":[0.9992512,0.0003325333,0.0001024832,0.0001267854,0.0001622983,0.00002473225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004742267,0.0001591297,0.001892902,0.0003880626,0.0001033568,0.0004302743,0.0002419139,0.4805946,0.2674082,0.03528813,0.002407954,0.2106111],"study_design_scores_gemma":[0.00001128697,0.000030908,0.0001442147,0.000005291417,0.000006688627,0.0001542326,0.0000109054,0.9677722,0.02837186,0.002416366,0.00106311,0.0000129127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01511332,0.00006664251,0.9836098,0.00006664536,0.00001088876,0.00001963396,0.00003520733,0.0002310045,0.0008469684],"genre_scores_gemma":[0.1943884,0.0002360396,0.8026106,0.00007158594,0.00002191914,0.00008395906,0.0002071973,0.00007950675,0.002300779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001074622,"threshold_uncertainty_score":0.003217816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009619820609554427,"score_gpt":0.1984041262380232,"score_spread":0.1887843056284687,"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."}}