{"id":"W4226030876","doi":"10.3389/fnins.2022.833209","title":"Enabling Complex Fibre Geometries Using 3D Printed Axon-Mimetic Phantoms","year":2022,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Imaging phantom; Diffusion MRI; Orientation (vector space); Kurtosis; Curvature; Nuclear magnetic resonance; Ground truth; Thermal diffusivity; Fractional anisotropy; Physics; Materials science; Magnetic resonance imaging; Geometry; Artificial intelligence; Optics; Mathematics; Computer science; Statistics","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":[0.0009944182,0.0007754032,0.0003047237,0.0005684053,0.0002356433,0.000912233,0.0006779248,0.0008653747,0.001501802],"category_scores_gemma":[0.002455123,0.0005975409,0.000499189,0.0003329815,0.0005580997,0.0007960614,0.0007042915,0.000574594,0.0007790137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005936725,"about_ca_system_score_gemma":0.0003919616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006726024,"about_ca_topic_score_gemma":0.001024812,"domain_scores_codex":[0.9995635,0.00007318724,0.00003148609,0.00008467519,0.0002167366,0.00003035635],"domain_scores_gemma":[0.9985777,0.000632737,0.0003403448,0.0002430591,0.0001344176,0.00007174392],"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":[0.0001616101,0.0000671653,0.0008467557,0.0002716563,0.0000302181,0.0005703636,0.0002559013,0.03185382,0.9392454,0.003381579,0.00079096,0.02252471],"study_design_scores_gemma":[0.00002998089,0.0003761638,0.001736864,0.00003823462,0.00004484383,0.000893652,0.00005586742,0.06981415,0.9090346,0.001533285,0.01637506,0.00006728443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3105688,0.001015691,0.6748697,0.0003785593,0.0002326605,0.0002960355,0.0006985272,0.004385728,0.007554304],"genre_scores_gemma":[0.6245148,0.000947332,0.3661673,0.0002375671,0.00003691531,0.0005436387,0.0006186169,0.0005075472,0.006426179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001501802,"threshold_uncertainty_score":0.005259037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145349509987603,"score_gpt":0.3613520698510589,"score_spread":0.2468171188522986,"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."}}