{"id":"W286640797","doi":"10.1007/978-3-319-11182-7_13","title":"Diffusion Propagator Estimation Using Gaussians Scattered in q-Space","year":2014,"lang":"en","type":"book-chapter","venue":"Mathematics and visualization","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Propagator; Gaussian; Basis (linear algebra); Diffusion; Basis function; Diffusion MRI; Radial basis function; Statistical physics; Orientation (vector space); Mathematics; Mathematical analysis; Physics; Computer science; Geometry; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001005759,0.0002028049,0.0003290671,0.0002002633,0.00006507919,0.00002863514,0.0000392793,0.0001518993,0.00002637937],"category_scores_gemma":[0.00003649143,0.0001849502,0.00003845325,0.00005318839,0.00004830634,0.00003564849,0.00004361107,0.0001278003,0.000006667809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006441151,"about_ca_system_score_gemma":0.0000256622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003270359,"about_ca_topic_score_gemma":0.000001174536,"domain_scores_codex":[0.999114,0.000005719539,0.0003462325,0.0002590923,0.0001667882,0.0001081428],"domain_scores_gemma":[0.9993367,0.00002824416,0.0002610775,0.0002596397,0.00005697375,0.00005741109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000135321,0.000124886,0.0001603031,0.001555646,0.00001266766,0.000006803537,0.0003314663,0.00005126751,0.005575778,0.9857159,0.0002925241,0.006159212],"study_design_scores_gemma":[0.0007414981,0.0001441515,0.0001562289,0.003894575,0.0002088283,0.0001150847,0.00001857367,0.8652431,0.0009796497,0.1180727,0.009976929,0.0004486802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003699088,0.00006955812,0.9777248,0.0003073541,0.00002338487,0.0010678,0.000007915298,0.0001467969,0.01695332],"genre_scores_gemma":[0.2568621,0.001498271,0.6013577,0.001111281,0.0004436542,0.000191707,0.001018741,0.000737953,0.1367786],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8676432,"threshold_uncertainty_score":0.754205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08375704491233274,"score_gpt":0.3767031471107459,"score_spread":0.2929461021984132,"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."}}