{"id":"W2757204155","doi":"10.1007/978-3-319-73839-0_15","title":"Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players","year":2018,"lang":"en","type":"book-chapter","venue":"Mathematics and visualization","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Fiber bundle; Diffusion MRI; Fiber; Diffusion; Anisotropy; Mathematics; Physics; Optics; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005686596,0.0006074848,0.0005088145,0.0009245265,0.0002565481,0.0008293229,0.0005175846,0.0006293796,0.005173058],"category_scores_gemma":[0.001649751,0.0002273403,0.000544693,0.0009376094,0.0002775143,0.0005586205,0.0004392268,0.0005410951,0.001442726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003582814,"about_ca_system_score_gemma":0.0005469181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004581365,"about_ca_topic_score_gemma":0.005862795,"domain_scores_codex":[0.9999313,0.00001428935,0.000005155942,0.00002003665,0.00002492434,0.000004323698],"domain_scores_gemma":[0.9996539,0.000199197,0.00002002334,0.00002122523,0.0000898281,0.00001577259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001494548,0.0001061913,0.00446407,0.0004409004,0.00008722646,0.0004957131,0.0003576493,0.04937539,0.03123306,0.03796184,0.02507572,0.8502527],"study_design_scores_gemma":[0.00002009374,0.00009773721,0.01151821,0.0001186751,0.000111569,0.001835892,0.0001858742,0.8733214,0.01949554,0.05635253,0.03687189,0.00007073584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02307688,0.002477905,0.966747,0.0005823408,0.0001411723,0.00005578308,0.0007393219,0.001571044,0.004608567],"genre_scores_gemma":[0.09820654,0.005162492,0.8755497,0.00008830647,0.0002210355,0.00009087532,0.0007679743,0.0007124188,0.01920073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005173058,"threshold_uncertainty_score":0.01730561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03743149619188727,"score_gpt":0.341741172142129,"score_spread":0.3043096759502417,"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."}}