{"id":"W6958147358","doi":"10.6084/m9.figshare.12649388.v1","title":"Multimodal adolescent white matter imaging dataset","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neuroimaging; White matter; Subject matter; Medical imaging; 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":[0.0007533901,0.001871277,0.001205783,0.001591282,0.0007938339,0.001160417,0.002749939,0.001646553,0.03029167],"category_scores_gemma":[0.00258194,0.0004485768,0.0007276006,0.00212738,0.0003231212,0.0004533358,0.001264449,0.00107818,0.02392895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306123,"about_ca_system_score_gemma":0.002091312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07744041,"about_ca_topic_score_gemma":0.22514,"domain_scores_codex":[0.9997184,0.00004868113,0.00002283776,0.000104736,0.0000586063,0.00004665929],"domain_scores_gemma":[0.9990951,0.0001645594,0.00007958023,0.0001698236,0.0003538361,0.0001371211],"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":[0.0004533718,0.0001034523,0.00771891,0.001029923,0.0002363179,0.000441073,0.00007775211,0.0006264321,0.0009321078,0.0005599772,0.9734181,0.01440255],"study_design_scores_gemma":[0.0007557191,0.0001033,0.09046877,0.0008431384,0.0004271261,0.001983898,0.000263906,0.001632969,0.001717298,0.00307929,0.8986233,0.0001011757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003109933,0.0003867436,0.0003329512,0.0001167866,0.00003106874,0.00005665394,0.9942965,0.0003679535,0.001301482],"genre_scores_gemma":[0.003405442,0.0001532422,0.0008091651,0.00007336069,0.00001482644,0.0001384701,0.994287,0.00006645218,0.001052053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07744041,"threshold_uncertainty_score":0.1539793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02810582876315805,"score_gpt":0.3321849198202072,"score_spread":0.3040790910570492,"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."}}