{"id":"W2056223756","doi":"10.1002/lsm.21018","title":"A transmissive laser speckle imaging technique for measuring deep tissue blood flow: An example application in finger joints","year":2011,"lang":"en","type":"article","venue":"Lasers in Surgery and Medicine","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Institute for Health and Care Research","keywords":"Speckle pattern; Blood flow; Optical coherence tomography; Biomedical engineering; Laser; Materials science; Optics; Decorrelation; Laser Doppler velocimetry; Finger joint; Medicine; Computer science; Physics; Computer vision; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007516021,0.0001347077,0.0003766585,0.0002145696,0.0000379763,0.00000260413,0.00004052123,0.00007505018,0.0002016942],"category_scores_gemma":[0.0002664655,0.0001037871,0.00003501963,0.0002030499,0.000108163,0.00007808646,0.000008427198,0.0001251625,0.000001253351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001670029,"about_ca_system_score_gemma":0.00003087184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004313203,"about_ca_topic_score_gemma":0.0002190863,"domain_scores_codex":[0.9989778,0.00008252374,0.0003168463,0.0002909431,0.0001139479,0.0002179357],"domain_scores_gemma":[0.9991348,0.0004309427,0.00006305348,0.0001783465,0.00004268567,0.0001501806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006824324,0.0008179292,0.06513531,0.0004592634,0.0000388939,0.0002303902,0.006811535,0.00002032322,0.699285,0.0002694422,0.0001905288,0.2199171],"study_design_scores_gemma":[0.00331251,0.0004048608,0.7205453,0.0009791133,0.00009927143,0.00009240485,0.0009316928,0.001369871,0.2649835,0.003689174,0.003266658,0.0003256652],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889846,0.0002684045,0.009090039,0.0002892657,0.00005420407,0.0008603651,0.000004084543,0.00004457412,0.000404454],"genre_scores_gemma":[0.9967491,0.00009081201,0.002185071,0.0005149918,0.00009552285,0.0002155132,0.00005215006,0.00001700959,0.00007982381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6554099,"threshold_uncertainty_score":0.4232315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07830749233450042,"score_gpt":0.2945263035852667,"score_spread":0.2162188112507663,"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."}}