{"id":"W4389082732","doi":"10.1002/pbc.30787","title":"Higher order neurocognition in pediatric brain tumor survivors: What can we learn from white matter microstructure?","year":2023,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; Ontario Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"National Cancer Institute; St. Baldrick's Foundation","keywords":"Neurocognitive; Medicine; White matter; White (mutation); Pediatrics; Cognition; Psychiatry; Magnetic resonance imaging; Radiology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005341694,0.0003287055,0.000345936,0.0006599237,0.0002314687,0.0007757358,0.0004695967,0.0007631981,0.0008269965],"category_scores_gemma":[0.001747629,0.0001480642,0.000274411,0.0005435049,0.0006774327,0.00151439,0.0002707957,0.0005191331,0.0001719392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004351392,"about_ca_system_score_gemma":0.0006276156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006744639,"about_ca_topic_score_gemma":0.0111479,"domain_scores_codex":[0.9999079,0.00002099577,0.000009825235,0.00002281357,0.0000147242,0.00002376575],"domain_scores_gemma":[0.9994577,0.0001107517,0.0002420003,0.00003195183,0.00007275488,0.00008484939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001526994,0.000110631,0.9192027,0.0002681976,0.0001015716,0.0005479978,0.0006396773,0.0001838604,0.001195223,0.0002232511,0.001101968,0.07627217],"study_design_scores_gemma":[0.000006698698,0.0002476834,0.9943426,0.0002355208,0.00006269588,0.001103418,0.001429823,0.0002611502,0.0002946785,0.0005511434,0.001455326,0.00000931223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962018,0.03273178,0.0003323511,0.003893897,0.00006014065,0.000013994,0.0001947715,0.00001561773,0.0007396171],"genre_scores_gemma":[0.9689433,0.02881696,0.0009740671,0.0004278693,0.0002578561,0.00001884459,0.0002756848,0.000006162487,0.0002793508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006744639,"threshold_uncertainty_score":0.01341081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604175245274845,"score_gpt":0.302363349720754,"score_spread":0.2763215972680056,"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."}}