{"id":"W3205967571","doi":"10.1002/jbio.202100218","title":"Movement correction method for laser speckle contrast imaging of cerebral blood flow in cranial windows in rodents","year":2021,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Speckle pattern; SIGNAL (programming language); Contrast (vision); Speckle noise; Speckle imaging; Computer vision; Blood flow; Cerebral blood flow; Artificial intelligence; Computer science; Movement (music); Noise (video); Physics; Image (mathematics); Medicine; Acoustics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005330995,0.0004146138,0.0002800238,0.0006938141,0.0002088297,0.0002275273,0.0003683933,0.0003747408,0.0007694202],"category_scores_gemma":[0.0009600185,0.0002407358,0.0003080166,0.000393087,0.0002378774,0.0002214054,0.0002617345,0.0006388333,0.0001934952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003145813,"about_ca_system_score_gemma":0.0004894363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697336,"about_ca_topic_score_gemma":0.003248007,"domain_scores_codex":[0.9998454,0.00002584196,0.000008645849,0.00004296206,0.00005795817,0.00001917187],"domain_scores_gemma":[0.9997057,0.00007076633,0.00007573685,0.00004760025,0.00007940463,0.0000207365],"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":[0.0001346365,0.00002556475,0.001778656,0.00008045505,0.00003220841,0.0000768665,0.0000593946,0.002127389,0.9393923,0.0004652163,0.0003829488,0.05544435],"study_design_scores_gemma":[0.00003863725,0.0003362933,0.02911413,0.00003100389,0.0001013851,0.0005837004,0.00003736204,0.1057985,0.8583733,0.0005853599,0.004911492,0.00008877314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3213074,0.0007572926,0.674224,0.0002440397,0.00009707073,0.0001111753,0.0003148001,0.001886115,0.00105824],"genre_scores_gemma":[0.4101849,0.0008094154,0.5856094,0.0001097393,0.00003478805,0.0002663112,0.000414676,0.000347543,0.002223189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001697336,"threshold_uncertainty_score":0.003374934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469834612893001,"score_gpt":0.3043669244233976,"score_spread":0.2896685782944676,"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."}}