{"id":"W2581789148","doi":"10.3389/fninf.2017.00005","title":"AxonPacking: An Open-Source Software to Simulate Arrangements of Axons in White Matter","year":2017,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute; Institut Universitaire de Gériatrie de Montréal; Polytechnique Montréal","funders":"Canadian Institutes of Health Research; Multiple Sclerosis Society; Natural Sciences and Engineering Research Council of Canada; Multiple Sclerosis Society of Canada","keywords":"Open source; Open source software; Computer science; White matter; White (mutation); Software; Programming language; Biology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001442532,0.0001474968,0.0003429206,0.000241957,0.0001010468,0.00008354491,0.0007149258,0.00004605135,0.00001342961],"category_scores_gemma":[0.0001403868,0.0001486323,0.00003192526,0.0001531155,0.00007399561,0.0005899784,0.0003986538,0.0002288213,0.00001274339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004442302,"about_ca_system_score_gemma":0.00002772277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001260381,"about_ca_topic_score_gemma":0.000007699416,"domain_scores_codex":[0.9988912,0.00001502507,0.0004778145,0.0001865081,0.0001713148,0.0002581455],"domain_scores_gemma":[0.9983863,0.00001539901,0.0002466423,0.001186338,0.00004575496,0.0001195508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008318942,0.0001670591,0.975851,0.000103919,0.000005490276,0.0000131322,0.0007071702,0.002246934,0.0001009678,0.00002549126,0.01250385,0.008191792],"study_design_scores_gemma":[0.003401446,0.0005152974,0.8658223,0.0007157756,0.00004598235,0.00002402201,0.0005731173,0.05397832,0.001010653,0.00159997,0.07179402,0.0005190619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6847094,0.00001214278,0.3025734,0.002644492,0.0002722116,0.002477813,0.00004197245,0.0001283179,0.007140265],"genre_scores_gemma":[0.6333538,0.00002681777,0.3637581,0.002134554,0.00001884664,0.00005813747,0.00001827627,0.00004368925,0.0005878005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1100287,"threshold_uncertainty_score":0.6061051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0682076722942466,"score_gpt":0.3653725144846666,"score_spread":0.2971648421904201,"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."}}