{"id":"W3217557077","doi":"10.3389/fninf.2021.748370","title":"Modeling Neurodegeneration in silico With Deep Learning","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; Hotchkiss Brain Institute; University of Calgary","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ministry of Innovation and Advanced Education; Calgary Foundation","keywords":"Artificial intelligence; Computer science; Deep learning; Cognition; Neuroscience; Cognitive neuroscience of visual object recognition; Convolutional neural network; Artificial neural network; Machine learning; Object (grammar); Psychology","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":[0.0001136675,0.0001418372,0.0001756254,0.0002112809,0.00009650726,0.0001097545,0.0001207505,0.00005015671,0.000003894861],"category_scores_gemma":[0.000411955,0.0001349131,0.00002965921,0.0006844281,0.00002737549,0.0005790728,0.00005482727,0.0004385234,0.000005844688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005455618,"about_ca_system_score_gemma":0.00004511395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004821794,"about_ca_topic_score_gemma":0.00005765921,"domain_scores_codex":[0.9987224,0.0001128392,0.000373009,0.0002456357,0.0002589403,0.0002872212],"domain_scores_gemma":[0.999609,0.00004961688,0.00007018932,0.0001920519,0.00003041386,0.00004874546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003094589,0.00003436592,0.004847088,0.00002617352,7.274274e-7,0.00010191,0.0003823896,0.9801005,0.008067499,0.0003203465,0.00003533758,0.006052709],"study_design_scores_gemma":[0.0004576847,0.00006724375,0.0004182043,0.00002270975,0.000002808751,0.00004337989,0.0002842906,0.9925469,0.005523664,0.0002316673,0.0002543073,0.0001471097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227815,0.00002706647,0.07469578,0.0001845863,0.0006284711,0.0001500313,0.000001218349,0.0000528993,0.001478491],"genre_scores_gemma":[0.9940087,0.0002128512,0.00463341,0.0009170778,0.00002537828,0.000008906697,0.00001110661,0.00002142204,0.0001611876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07122721,"threshold_uncertainty_score":0.5501599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391919686160759,"score_gpt":0.2087087376580156,"score_spread":0.194789540796408,"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."}}