{"id":"W4394120694","doi":"10.6084/m9.figshare.7603271","title":"White Matter Tractography Guides","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tractography; White matter; White (mutation); Psychology; Geology; Medicine; Biology; Radiology; Magnetic resonance imaging","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":[0.00229743,0.00251607,0.001822718,0.004904475,0.001237741,0.003351908,0.00389582,0.002266368,0.1772159],"category_scores_gemma":[0.01049007,0.001152014,0.002131283,0.005776436,0.0007168098,0.001695068,0.002495288,0.002738343,0.2171806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484614,"about_ca_system_score_gemma":0.003761122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01123369,"about_ca_topic_score_gemma":0.04299202,"domain_scores_codex":[0.9985735,0.0002619472,0.0001911411,0.0005480867,0.000284802,0.0001404068],"domain_scores_gemma":[0.9961754,0.001407106,0.0003093694,0.001207878,0.0006637119,0.0002365249],"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":[0.00007090636,0.00002822626,0.0007237919,0.0006745814,0.00004085334,0.00006185094,0.00005116017,0.0004985485,0.0003000396,0.001170653,0.9850263,0.011353],"study_design_scores_gemma":[0.0002398361,0.00002805173,0.002774052,0.0003746708,0.0000477486,0.0002871524,0.0000512667,0.00154349,0.001075809,0.005688534,0.9878497,0.00003961791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004364272,0.00023673,0.003115359,0.0001397148,0.00005698467,0.00009686286,0.9870459,0.006373235,0.00249867],"genre_scores_gemma":[0.0009053046,0.0001985686,0.006960655,0.00008466798,0.00001784142,0.0006185345,0.9865471,0.00182441,0.002842982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1772159,"threshold_uncertainty_score":0.5928462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1394907963545433,"score_gpt":0.3862822743998692,"score_spread":0.2467914780453259,"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."}}