{"id":"W2062791478","doi":"10.3389/fninf.2014.00008","title":"Dipy, a library for the analysis of diffusion MRI data","year":2014,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":1462,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Eye Institute; Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Computer science; Diffusion; Data science; Information retrieval; Physics","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":[0.002643627,0.003039975,0.002616876,0.002876928,0.0009982231,0.00308961,0.004540981,0.001291971,0.09584806],"category_scores_gemma":[0.008540688,0.002278176,0.003213191,0.002626696,0.000980429,0.004253585,0.005309044,0.004492797,0.05960042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009572738,"about_ca_system_score_gemma":0.003327929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002848415,"about_ca_topic_score_gemma":0.00442436,"domain_scores_codex":[0.9984213,0.0002191291,0.000216559,0.0003642599,0.0005902345,0.0001884776],"domain_scores_gemma":[0.9976762,0.0009341468,0.0002538812,0.0004192329,0.0004928351,0.0002236128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008615574,0.0002222117,0.002532352,0.004542642,0.0007991542,0.0009006975,0.000555992,0.01099537,0.01874262,0.01828308,0.6877736,0.2537909],"study_design_scores_gemma":[0.0009202123,0.0002274128,0.006408101,0.0007780087,0.0002995052,0.001891606,0.0001519881,0.1252066,0.02992523,0.07090437,0.7628164,0.0004705685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001809385,0.0009174756,0.4655546,0.0003554848,0.0002684527,0.0004095232,0.03500441,0.490669,0.005011569],"genre_scores_gemma":[0.02057594,0.002220835,0.6270044,0.001309485,0.0002103906,0.002726067,0.08616072,0.2408253,0.01896683],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.09584806,"threshold_uncertainty_score":0.3206437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0558102439165102,"score_gpt":0.3277539162915454,"score_spread":0.2719436723750352,"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."}}