{"id":"W2515401228","doi":"10.3791/53759","title":"Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography","year":2016,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lateral geniculate nucleus; Tractography; Diffusion MRI; Optic radiation; Neuroscience; Visual cortex; Decussation; Albinism; Optic chiasm; Retinotopy; White matter; Biology; Artificial intelligence; Physics; Computer science; Optic nerve; Magnetic resonance imaging; Medicine","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":[0.0004987903,0.0001321523,0.0003086289,0.0003098697,0.0000810828,0.00002073499,0.0000958411,0.00003417119,0.000005755877],"category_scores_gemma":[0.00005839694,0.00007645328,0.0000835821,0.000185137,0.00007995186,0.0002227871,0.00004466279,0.0002098311,1.82089e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030995,"about_ca_system_score_gemma":0.00003069702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001974599,"about_ca_topic_score_gemma":7.250646e-7,"domain_scores_codex":[0.9987795,0.0001251401,0.0004528477,0.0001683528,0.0002893382,0.0001848655],"domain_scores_gemma":[0.9993516,0.0001199241,0.000270026,0.0001379261,0.00005487509,0.00006568976],"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":[0.000123871,0.000513992,0.09994654,0.00001073126,0.000006850367,0.00007783277,0.0004951166,2.772024e-7,0.8949711,0.00009046825,0.000008576711,0.00375459],"study_design_scores_gemma":[0.0111352,0.0004731622,0.5416127,0.00151952,0.00004118801,0.0008451556,0.001020772,0.0002319614,0.4400515,0.00173976,0.001024617,0.0003044561],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938802,0.0003910655,0.00487268,0.0004199198,0.00003037965,0.0002808509,0.000001046764,0.00001579515,0.0001080311],"genre_scores_gemma":[0.9966866,0.00008971288,0.002772025,0.0003600573,0.00005560105,0.00001202582,5.096579e-7,0.00001926039,0.000004160705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4549196,"threshold_uncertainty_score":0.3117674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034191399935968,"score_gpt":0.452052485913231,"score_spread":0.3486333459196342,"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."}}