{"id":"W2059013849","doi":"10.1016/j.pscychresns.2007.11.007","title":"Diffusion tensor imaging tractography and reliability analysis for limbic and paralimbic white matter tracts","year":2008,"lang":"en","type":"article","venue":"Psychiatry Research Neuroimaging","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"White matter; Cingulum (brain); Diffusion MRI; Uncinate fasciculus; Fractional anisotropy; Fornix; Inferior longitudinal fasciculus; Tractography; Psychology; Parahippocampal gyrus; Medicine; Neuroscience; Nuclear medicine; Magnetic resonance imaging; Radiology; Hippocampus; Temporal lobe","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005752401,0.0002583359,0.0004342132,0.0008915563,0.0007689294,0.00008671882,0.0001516324,0.00004926899,0.0000251943],"category_scores_gemma":[0.0001427306,0.0002298696,0.0002182032,0.001333504,0.0005927366,0.0002586344,0.000132639,0.0007138688,0.000004732418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002488231,"about_ca_system_score_gemma":0.00005742763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003201171,"about_ca_topic_score_gemma":0.000002520485,"domain_scores_codex":[0.9973657,0.0001300674,0.0003988196,0.001007016,0.000429689,0.0006687214],"domain_scores_gemma":[0.9982094,0.0003404206,0.00009657664,0.0007449014,0.0002578813,0.0003508252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001312079,0.0002577507,0.9945601,0.0001454059,0.00003087548,0.00001679566,0.0001054014,0.000006405727,0.001577016,0.00008264784,0.002253298,0.0008330808],"study_design_scores_gemma":[0.0007921983,0.0001258984,0.9865395,0.00004875362,0.0002109117,0.0003543496,0.00008406408,0.005168705,0.00005467229,0.002763367,0.003653233,0.0002043692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466754,0.0006603406,0.01031664,0.04026156,0.00005716693,0.001237159,0.00002712109,0.0002132243,0.0005513527],"genre_scores_gemma":[0.960237,0.0007368557,0.03689792,0.001481815,0.000113483,0.0002011363,0.00002579031,0.00006149944,0.0002445589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03877975,"threshold_uncertainty_score":0.9373809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037808563871598,"score_gpt":0.4073551634304743,"score_spread":0.3035743070433145,"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."}}