{"id":"W2147813587","doi":"10.1109/isbi.2008.4540955","title":"Synthetic images of blood microcirculation to assess precision of velocity profiles by a cross-correlation method","year":2008,"lang":"en","type":"article","venue":"","topic":"Blood properties and coagulation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institutes of Health","keywords":"Microcirculation; Hematocrit; Digital image correlation; RADIUS; Cross-correlation; Flow velocity; Optical flow; Blood flow; Flow (mathematics); Materials science; Mathematics; Optics; Biomedical engineering; Physics; Image (mathematics); Mechanics; Mathematical analysis; Computer vision; Computer science","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":[0.0003054357,0.0001033695,0.0002841419,0.00008909042,0.00005880785,0.000006520788,0.00005455058,0.000103941,0.000121819],"category_scores_gemma":[0.0001923312,0.0000809342,0.00008012407,0.0002156756,0.00005207051,0.000127808,0.0000305115,0.0000706957,0.000006356188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001696675,"about_ca_system_score_gemma":0.00005858833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001826645,"about_ca_topic_score_gemma":0.000001377549,"domain_scores_codex":[0.9988819,0.0000623486,0.0004280253,0.0002145174,0.0003014095,0.0001118422],"domain_scores_gemma":[0.9990799,0.00009682744,0.0001657403,0.0002255107,0.0003769406,0.00005501037],"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":[0.0002349017,0.0003121069,0.07344132,0.0001475499,0.0000617635,9.480815e-7,0.0005311057,0.0004439111,0.9113656,0.0000638797,0.0003897614,0.01300715],"study_design_scores_gemma":[0.0006728318,0.0002637228,0.2170681,0.0001070504,0.0001386752,0.00003638543,0.0000493068,0.003243051,0.7782074,0.00005987177,0.00007543456,0.00007816929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8983899,0.0002425898,0.0996668,0.0001315523,0.00003941968,0.0004926574,0.00001144593,0.00002936631,0.0009962891],"genre_scores_gemma":[0.9494438,0.00001839599,0.04952811,0.00004319024,0.0000228018,0.0000152838,0.00003029554,0.00001383778,0.0008842815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1436267,"threshold_uncertainty_score":0.3300401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03882504669089074,"score_gpt":0.3244413236085841,"score_spread":0.2856162769176933,"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."}}