{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005635749,0.0005102219,0.0004739277,0.0004724048,0.0005647633,0.0007030258,0.001092659,0.001000511,0.002324265],"category_scores_gemma":[0.001307462,0.0003948132,0.0002051702,0.0004765036,0.0008525906,0.001285679,0.0005431325,0.001947778,0.000695368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006724211,"about_ca_system_score_gemma":0.0007863112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003756417,"about_ca_topic_score_gemma":0.004249873,"domain_scores_codex":[0.9996663,0.00003215434,0.000009149403,0.0001157529,0.0000995502,0.00007705691],"domain_scores_gemma":[0.999483,0.0002166832,0.00008082495,0.00008157743,0.00008044147,0.00005747664],"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":[0.00009263412,0.00003133851,0.0001537499,0.00006974509,0.000005235578,0.0000463829,0.00005886756,0.0001268393,0.9949307,0.0005594285,0.0002034809,0.003721604],"study_design_scores_gemma":[0.00002263886,0.00006320346,0.002506412,0.00001059527,0.0000128434,0.0002166058,0.00004594586,0.004192021,0.9912153,0.0003410327,0.001355173,0.00001808055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7799116,0.002859772,0.2025789,0.001104787,0.0001515249,0.0002273258,0.001018505,0.001207677,0.01093995],"genre_scores_gemma":[0.9121447,0.002499516,0.07258771,0.0002750899,0.00006138742,0.0002151916,0.0005829522,0.0002804872,0.01135288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003756417,"threshold_uncertainty_score":0.007775426,"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."}}