{"id":"W3035781430","doi":"10.1007/s10237-020-01346-z","title":"Fluorescence recovery after photobleaching: direct measurement of diffusion anisotropy","year":2020,"lang":"en","type":"article","venue":"Biomechanics and Modeling in Mechanobiology","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Killam Trusts; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Fluorescence recovery after photobleaching; Anisotropy; Thermal diffusivity; Isotropy; Materials science; Diffusion; Anisotropic diffusion; Tensor (intrinsic definition); Photobleaching; Work (physics); Optics; Thermodynamics; Fluorescence; Physics; Geometry; Mathematics","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":[0.000197329,0.0001285203,0.0002914259,0.00009992893,0.00002950569,0.00000384525,0.00007318607,0.00009616788,0.00000748715],"category_scores_gemma":[0.00007048448,0.0001130917,0.00005115717,0.0001617579,0.00001977527,0.00002333875,0.0001041242,0.0001432747,0.000001078008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003260042,"about_ca_system_score_gemma":0.00003096476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002995816,"about_ca_topic_score_gemma":0.000002290614,"domain_scores_codex":[0.9990422,0.00003039091,0.0002792103,0.0003629778,0.0001085461,0.0001766682],"domain_scores_gemma":[0.9995894,0.00001359337,0.00006717012,0.0001792938,0.00006709048,0.00008344995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003122218,0.00006994727,0.0000570412,0.0000663381,0.000007240803,0.000006440179,0.00005780142,0.00003284671,0.9905898,0.001191072,0.0000104068,0.007598834],"study_design_scores_gemma":[0.0008336233,0.001067603,0.00001877182,0.000207038,0.00004192727,0.00001670381,0.00004921871,0.8360453,0.1521835,0.008411095,0.0009183351,0.0002068534],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.468794,0.0007022071,0.5281218,0.00152285,0.0000734329,0.0005787444,0.00002284304,0.0001129107,0.00007122403],"genre_scores_gemma":[0.9692491,0.001240844,0.02883925,0.0005633439,0.00002569975,0.00005253765,0.000008667289,0.00001754241,0.000003013656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8384063,"threshold_uncertainty_score":0.4611745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1166097142385121,"score_gpt":0.3083444603479332,"score_spread":0.191734746109421,"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."}}