{"id":"W2947505433","doi":"10.1016/j.pacs.2019.04.001","title":"Towards microvascular pressure estimation using ultrasound and photoacoustic imaging","year":2019,"lang":"en","type":"article","venue":"Photoacoustics","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Terry Fox Foundation; Alberta Ingenuity; Canadian Cancer Society","keywords":"Photoacoustic imaging in biomedicine; Ultrasound; Medicine; Biomedical engineering; Materials science; Radiology; Medical physics; Optics; Physics","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":[0.001651642,0.001045137,0.0007501399,0.001347493,0.0003220218,0.0022355,0.001468071,0.001386645,0.002597048],"category_scores_gemma":[0.00403636,0.000654501,0.0004437253,0.0008732358,0.0007071343,0.003504139,0.001294413,0.001438629,0.001257212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004116381,"about_ca_system_score_gemma":0.0008736103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120116,"about_ca_topic_score_gemma":0.001875095,"domain_scores_codex":[0.9989393,0.0003546025,0.00004721287,0.0002535866,0.0003417173,0.00006361323],"domain_scores_gemma":[0.9987576,0.0005195453,0.0001531265,0.0001134309,0.0003783031,0.00007804991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002971645,0.0002178488,0.005152452,0.0009645878,0.0001328263,0.0002594858,0.000192092,0.01220542,0.4793711,0.009938396,0.002786247,0.4884825],"study_design_scores_gemma":[0.00005610403,0.0008555965,0.00943811,0.0003148023,0.0002290543,0.00176521,0.0004321833,0.5514402,0.3933472,0.01642284,0.02541928,0.0002795249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01501323,0.003537245,0.9773501,0.0006306554,0.0001611328,0.00007947307,0.00007755814,0.0006331214,0.002517431],"genre_scores_gemma":[0.2247198,0.003783274,0.7667248,0.0003485273,0.0002361831,0.0001335192,0.0001514185,0.0001413876,0.003761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002597048,"threshold_uncertainty_score":0.008734822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004515391874199982,"score_gpt":0.2005738671941222,"score_spread":0.1960584753199223,"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."}}