{"id":"W4400135600","doi":"10.3389/fradi.2024.1416672","title":"Feasibility study to unveil the potential: considerations of constrained spherical deconvolution tractography with unsedated neonatal diffusion brain MRI data","year":2024,"lang":"en","type":"article","venue":"Frontiers in Radiology","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"European Commission; Wellcome Trust","keywords":"Deconvolution; Tractography; Diffusion MRI; Diffusion; Medicine; Medical physics; Computer science; Radiology; Physics; Magnetic resonance imaging; Algorithm; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003226263,0.0001269292,0.0002992169,0.0001402744,0.00007378403,0.00001240835,0.0001795551,0.00005353403,0.00002416122],"category_scores_gemma":[0.0001488236,0.00008628969,0.00003984714,0.0005154795,0.0004285647,0.00007372614,0.00008128311,0.0002911288,9.073429e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004695508,"about_ca_system_score_gemma":0.0001307411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005193698,"about_ca_topic_score_gemma":0.00006036912,"domain_scores_codex":[0.9987349,0.0001625966,0.0003171893,0.0004983956,0.0001094821,0.0001774438],"domain_scores_gemma":[0.9988837,0.0001849899,0.00005137631,0.0007634951,0.00004860135,0.00006784817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002236249,0.003646418,0.6907476,0.0001746809,0.0006061845,0.0008775897,0.003387543,0.001491543,0.03279871,0.004777988,0.2349244,0.02433112],"study_design_scores_gemma":[0.008567446,0.005776554,0.7518606,0.0003249157,0.0008729824,0.003455451,0.01069274,0.165124,0.0009708123,0.02250745,0.02889781,0.0009492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4440247,0.0003254579,0.5431165,0.01062796,0.0001628707,0.001473746,0.0001082032,0.0001290211,0.00003148151],"genre_scores_gemma":[0.9200466,0.00003678171,0.07921738,0.0004273449,0.0000324193,0.00005372864,0.0001511878,0.00001547577,0.00001906803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4760219,"threshold_uncertainty_score":0.3518791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04914655114847281,"score_gpt":0.3503692760602306,"score_spread":0.3012227249117578,"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."}}