{"id":"W2591952369","doi":"10.1117/12.2253287","title":"Compression-tracking photoacoustic perfusion and microvascular pressure measurements","year":2017,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Compression (physics); Biomedical engineering; Tracking (education); Perfusion; Materials science; Region of interest; Lumen (anatomy); SIGNAL (programming language); Displacement (psychology); Computer science; Computer vision; Medicine; Radiology; Internal medicine","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":[0.0003751452,0.0004483962,0.0003673036,0.0006096302,0.0002049311,0.0003506241,0.0007315609,0.0008098215,0.001038148],"category_scores_gemma":[0.001015104,0.0003278661,0.0001948434,0.0004540027,0.0005049086,0.000672681,0.000493521,0.0005156057,0.0002950252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002553611,"about_ca_system_score_gemma":0.0004307907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312045,"about_ca_topic_score_gemma":0.00140081,"domain_scores_codex":[0.999615,0.00005504447,0.00001303584,0.00009125444,0.0001897098,0.00003601912],"domain_scores_gemma":[0.999499,0.0001675027,0.0001336001,0.00004169822,0.0001209067,0.00003734651],"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":[0.0001696722,0.00004034378,0.001794514,0.00009701904,0.00001128419,0.0001223036,0.00003529158,0.0006263474,0.9506527,0.0002343737,0.0002088758,0.04600726],"study_design_scores_gemma":[0.00003787108,0.0009127661,0.01660365,0.00001654986,0.00006220777,0.002141389,0.00002588212,0.02860384,0.9489191,0.0002445305,0.002377299,0.00005486854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3876728,0.004542146,0.6013739,0.0005556117,0.0002414456,0.0002349214,0.0002274043,0.00168969,0.003462218],"genre_scores_gemma":[0.7714623,0.001461105,0.2240074,0.0002779008,0.0002318076,0.0002131168,0.0001226854,0.00007358185,0.002150174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001312045,"threshold_uncertainty_score":0.003472924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528347126932175,"score_gpt":0.2302338575468687,"score_spread":0.214950386277547,"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."}}