{"id":"W2995804543","doi":"10.1016/j.nicl.2019.102133","title":"Organization of the commissural fiber system in congenital and late-onset blindness","year":2019,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Western University","funders":"H. Lundbeck A/S; Natural Sciences and Engineering Research Council of Canada; Lundbeckfonden","keywords":"Corpus callosum; Tractography; Commissure; Anterior commissure; Posterior commissure; Diffusion MRI; Anatomy; Magnetic resonance imaging; Neuroscience; Optic chiasm; Psychology; Medicine; Radiology","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":[0.0001761237,0.00008023655,0.000238248,0.00003145904,0.00002603092,0.000008039304,0.0001052921,0.00006294525,0.00003501835],"category_scores_gemma":[0.0002668542,0.00005838103,0.00004680749,0.0002610608,0.0001390982,0.00004606626,0.0001105197,0.00029237,0.00002510737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001050966,"about_ca_system_score_gemma":0.00003395308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006636091,"about_ca_topic_score_gemma":9.915789e-7,"domain_scores_codex":[0.9990868,0.00008142277,0.0003913358,0.0002350089,0.0001082343,0.0000972198],"domain_scores_gemma":[0.9990836,0.0002339906,0.0001114378,0.0004354154,0.00008744489,0.00004813303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002985938,0.0001194948,0.9969471,0.00006001107,0.000004096943,0.000009501117,0.00001920293,0.000003153116,0.001679492,0.0001124433,0.0002128409,0.0008028279],"study_design_scores_gemma":[0.0009664805,0.0001039388,0.994818,0.00007166964,0.00003020253,0.0001042423,0.00002335678,0.0008418449,0.001229491,0.00002969042,0.00172028,0.00006080232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974856,0.00001182392,0.00005894495,0.0009052031,0.00009346462,0.0005032272,0.00001162394,0.00006682726,0.0008632404],"genre_scores_gemma":[0.9984351,0.00001389152,0.0005214828,0.0003406804,0.00002555746,0.000004875955,0.000007294721,0.00002087313,0.000630273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002129076,"threshold_uncertainty_score":0.2380709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0692362285574352,"score_gpt":0.3780526058192199,"score_spread":0.3088163772617847,"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."}}