{"id":"W4391289272","doi":"10.1016/j.bas.2024.102759","title":"Parcellating the vertical associative fiber network of the temporoparietal area: Evidence from focused anatomic fiber dissections","year":2024,"lang":"en","type":"article","venue":"Brain and Spine","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Anatomy; Intraparietal sulcus; Neuroscience; Superior parietal lobule; Arcuate fasciculus; Sulcus; Inferior parietal lobule; Psychology; Posterior parietal cortex; Biology; Medicine; Cognition; White matter; Fractional anisotropy","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":[0.0003343589,0.0001827238,0.00008117351,0.0006877541,0.0002728236,0.0002934254,0.0002822668,0.0002794514,0.001827466],"category_scores_gemma":[0.0004682832,0.0001647186,0.0001083147,0.0002579312,0.00103787,0.0003433033,0.0002410043,0.0002087981,0.0003889548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001666542,"about_ca_system_score_gemma":0.0001530922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001709545,"about_ca_topic_score_gemma":0.003592915,"domain_scores_codex":[0.9999247,0.000006812701,0.000006306802,0.00002960372,0.00001757623,0.00001509459],"domain_scores_gemma":[0.9995521,0.0001121182,0.0001371571,0.00008309192,0.00009621915,0.0000192533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006417286,0.00009234764,0.1364519,0.0003372123,0.000149942,0.003224772,0.002100901,0.0005751897,0.7970917,0.00387056,0.0003795302,0.05508412],"study_design_scores_gemma":[0.00005305518,0.0005552049,0.7398912,0.0002268765,0.000215867,0.03490987,0.001487064,0.002668304,0.206523,0.003070349,0.01036917,0.00002990505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803517,0.002034545,0.01423969,0.00005709294,0.00001186516,0.00002735355,0.0001305495,0.00002811434,0.003119028],"genre_scores_gemma":[0.9899129,0.001127732,0.00783679,0.00002909813,0.00001328482,0.00002272263,0.0002598242,0.000008105482,0.0007895799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001827466,"threshold_uncertainty_score":0.006113529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06024611272450502,"score_gpt":0.3435291800678275,"score_spread":0.2832830673433225,"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."}}