{"id":"W1533378118","doi":"10.1007/978-3-642-15705-9_71","title":"Symmetric Positive-Definite Cartesian Tensor Orientation Distribution Functions (CT-ODF)","year":2010,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cartesian coordinate system; Tensor (intrinsic definition); Cartesian tensor; Diffusion MRI; Orientation (vector space); Tensor field; Parametrization (atmospheric modeling); Computer science; Positive-definite matrix; Mathematical analysis; Mathematics; Pure mathematics; Geometry; Physics; Tensor density; Exact solutions in general relativity; Optics","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":[0.001628593,0.001215787,0.000491798,0.001188416,0.0003955326,0.001751608,0.0009577592,0.001241637,0.007388208],"category_scores_gemma":[0.005737646,0.0003016347,0.0004926642,0.001298228,0.001135553,0.00204661,0.0008928878,0.001302865,0.002908459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000401722,"about_ca_system_score_gemma":0.001320894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824464,"about_ca_topic_score_gemma":0.001753226,"domain_scores_codex":[0.9994668,0.0001580045,0.00003865514,0.0001027133,0.000176219,0.00005765193],"domain_scores_gemma":[0.9976006,0.0004663188,0.00041716,0.0005256982,0.0007664483,0.0002237441],"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":[0.0002560499,0.00009972428,0.002000323,0.0004592631,0.00003935633,0.0004730768,0.0002813777,0.0328258,0.02015565,0.5070475,0.02937642,0.4069854],"study_design_scores_gemma":[0.00004764711,0.0001241898,0.002744391,0.0001593828,0.00003516724,0.002865089,0.0002652162,0.4629812,0.01774326,0.455009,0.05785991,0.0001655881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00696344,0.0002985699,0.9874861,0.0002541767,0.0001431728,0.00005411554,0.0006508699,0.0003783789,0.003771153],"genre_scores_gemma":[0.1976915,0.001693498,0.7845009,0.0004334716,0.0002700762,0.0002427607,0.001820147,0.0008110396,0.01253651],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007388208,"threshold_uncertainty_score":0.02471602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388381165326761,"score_gpt":0.3153876280106692,"score_spread":0.2915038163574016,"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."}}