{"id":"W2411309869","doi":"10.1007/978-1-4939-0320-7_19","title":"Laser Speckle Contrast Imaging to Measure Changes in Cerebral Blood Flow","year":2014,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Speckle pattern; Blood flow; Speckle imaging; Cerebral blood flow; Laser; Biomedical engineering; Laser Doppler velocimetry; Optics; Computer science; Computer vision; Medicine; Radiology; Physics; Internal medicine","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":[0.001297364,0.0001336808,0.0003728974,0.0001852966,0.00001522103,0.000005243692,0.00009493731,0.0001139934,0.0002166802],"category_scores_gemma":[0.001898943,0.0001040755,0.0000548898,0.0002397849,0.00007096362,0.000007846501,0.00005315707,0.0001811986,0.00001252032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000229134,"about_ca_system_score_gemma":0.00002005879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002336345,"about_ca_topic_score_gemma":0.00005365424,"domain_scores_codex":[0.9974723,0.001669215,0.0001987649,0.0003066759,0.00006524491,0.0002877476],"domain_scores_gemma":[0.999245,0.0003510042,0.00003587222,0.0002320813,0.0000353746,0.0001006306],"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":[0.0003243115,0.00006370786,0.006215968,0.000006158627,0.00001121338,0.00002565355,0.00006420288,0.00003179135,0.8386377,0.0007278326,0.00001219982,0.1538792],"study_design_scores_gemma":[0.003342698,0.0005906529,0.3520162,0.00009814132,0.00003942859,0.00004043589,0.00006196171,0.003470675,0.6270049,0.005711624,0.007310509,0.0003128106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5754747,0.0001862402,0.4203015,0.002589809,0.0001271221,0.0003345396,0.000004723917,0.00003763526,0.0009436441],"genre_scores_gemma":[0.5687568,0.000003575507,0.4255683,0.005451823,0.00007372987,0.00003041264,0.00001117298,0.00001428508,0.00008993679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3458002,"threshold_uncertainty_score":0.4244075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02968872180355139,"score_gpt":0.3785648406797445,"score_spread":0.3488761188761931,"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."}}