{"id":"W3040060243","doi":"10.1101/2020.07.02.185397","title":"Microstructural characterization and validation of a 3D printed axon-mimetic phantom for diffusion MRI","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Research Council Canada; Western Economic Diversification Canada; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Canada First Research Excellence Fund; University of Saskatchewan; Canadian Light Source","keywords":"Imaging phantom; Reproducibility; Characterization (materials science); Microscopy; Confocal microscopy; Anisotropy; Tortuosity; Kurtosis; Diffusion","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":[0.001117465,0.0004700106,0.0002163235,0.0004404553,0.0001819197,0.0005055139,0.0003709753,0.0005626522,0.0005407087],"category_scores_gemma":[0.00168249,0.0002666423,0.0002339455,0.0002204482,0.0004251611,0.0003156412,0.0002473739,0.0002958739,0.0003065799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003803288,"about_ca_system_score_gemma":0.0002956452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004314281,"about_ca_topic_score_gemma":0.0006055797,"domain_scores_codex":[0.9996063,0.00008012047,0.00002853167,0.00007073257,0.0001882177,0.00002607506],"domain_scores_gemma":[0.9987123,0.0004999181,0.0003066707,0.0002092124,0.0002063587,0.00006555745],"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":[0.00002542147,0.00001422146,0.0002064107,0.00002676389,0.000003025843,0.00006443878,0.00003352065,0.001095063,0.9968491,0.0000891712,0.00002784491,0.001565049],"study_design_scores_gemma":[0.000004163966,0.0001313727,0.002064396,0.000005408167,0.000008511049,0.0002506275,0.00001650848,0.006705226,0.989513,0.00005937335,0.001229367,0.0000121607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8374462,0.0008356817,0.1577992,0.0001679014,0.00005178343,0.0001899561,0.0005777209,0.0008560571,0.002075473],"genre_scores_gemma":[0.8518628,0.0004348381,0.1451146,0.0000825548,0.00001092856,0.0002214056,0.000447267,0.0001616395,0.001663862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001117465,"threshold_uncertainty_score":0.005909801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03110806582098718,"score_gpt":0.283938934636493,"score_spread":0.2528308688155058,"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."}}