{"id":"W6977659822","doi":"10.6084/m9.figshare.7603271.v1","title":"White Matter Tractography Guides","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Splenium; Tractography; White matter; Corpus callosum; Neuroimaging; Inferior longitudinal fasciculus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002187272,0.002440305,0.001820771,0.004653882,0.001224913,0.003260574,0.003909844,0.002183964,0.1931915],"category_scores_gemma":[0.01058551,0.001235698,0.001977139,0.005782626,0.0006689379,0.001728911,0.002430039,0.002751566,0.2111822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477802,"about_ca_system_score_gemma":0.003684692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01172577,"about_ca_topic_score_gemma":0.04292846,"domain_scores_codex":[0.9986711,0.0002355755,0.000164475,0.0005099649,0.0002834422,0.0001354742],"domain_scores_gemma":[0.995949,0.001603659,0.0003198052,0.001228277,0.00064754,0.0002515761],"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":[0.00007193733,0.00002588517,0.000785825,0.0006299455,0.00003968663,0.00006052337,0.00004899635,0.0005606165,0.0002793306,0.001308625,0.9870965,0.009092188],"study_design_scores_gemma":[0.0002635574,0.00002295368,0.002710096,0.0003534446,0.00004621827,0.0002262577,0.00004747095,0.00159237,0.001083015,0.006477672,0.9871386,0.00003841156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003371734,0.0001477638,0.00223584,0.0001053203,0.00003584153,0.00005968251,0.9899471,0.005152246,0.001979103],"genre_scores_gemma":[0.0008768968,0.0001450019,0.006211657,0.00007102203,0.00001248039,0.0004624786,0.9878101,0.001960713,0.002449573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1931915,"threshold_uncertainty_score":0.6462898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03250291576219064,"score_gpt":0.2734663286344317,"score_spread":0.240963412872241,"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."}}