{"id":"W3215682569","doi":"10.3791/62725","title":"Brain Pericyte Calcium and Hemodynamic Imaging in Transgenic Mice <em>In Vivo</em>","year":2021,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Research Manitoba; Azrieli Foundation; Health Canada; University of Manitoba; Canadian Institutes of Health Research; Mitacs; Fondation Brain Canada","keywords":"In vivo; Pericyte; Hemodynamics; Calcium in biology; Calcium imaging; Blood flow; Calcium; Biology; Genetically modified mouse; Pathology; Transgene; Cell biology; Chemistry; Medicine; Intracellular; Endothelial stem cell; Internal medicine; In vitro; Biochemistry; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005380432,0.0002563227,0.0004789213,0.0002651328,0.00004267579,0.00008369724,0.0002362859,0.0001330369,0.00009106762],"category_scores_gemma":[0.0001106065,0.000262614,0.0002490461,0.0002771759,0.00005679797,0.00003091089,0.0001209453,0.0001893763,0.000001447456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009900814,"about_ca_system_score_gemma":0.0001300186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002179694,"about_ca_topic_score_gemma":0.0001025954,"domain_scores_codex":[0.9979402,0.0002594718,0.0007533451,0.0003909448,0.0003087941,0.0003472875],"domain_scores_gemma":[0.9991294,0.00002558451,0.0002783444,0.0002751923,0.0001591857,0.0001322962],"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":[0.0001917927,0.0002908556,0.0008564361,0.00001888144,0.0000805584,0.0001718534,0.0007523579,0.000008926219,0.9950156,0.000007106039,0.001480119,0.001125467],"study_design_scores_gemma":[0.002581772,0.0001280773,0.0007434499,0.00008898193,0.00003951661,0.0001952623,0.0007485191,0.0006252974,0.9874299,0.00003719472,0.007111806,0.000270285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867432,0.008661207,0.003733811,0.0001717323,0.00006543527,0.0001189142,0.000003315253,0.000008158456,0.0004941892],"genre_scores_gemma":[0.9940487,0.0009673698,0.003834022,0.0005256993,0.0001185911,0.00001112314,0.00001823841,0.00004284263,0.0004333981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007693837,"threshold_uncertainty_score":0.9999826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126121419194362,"score_gpt":0.3594765095407245,"score_spread":0.3482152953487809,"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."}}