{"id":"W2911024125","doi":"10.1523/jneurosci.2209-18.2018","title":"Can Deep Learning Model Perceptual Learning?","year":2019,"lang":"en","type":"letter","venue":"Journal of Neuroscience","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Perception; Perceptual learning; Psychology; Neuroplasticity; Visual perception; Cognitive psychology; Neuroscience; Cognitive science; Artificial intelligence; Computer science","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":[0.001420802,0.0008107809,0.0007551588,0.0004336807,0.0003172637,0.001700663,0.001388269,0.003002807,0.004457277],"category_scores_gemma":[0.01571244,0.0003534135,0.000510552,0.0004246141,0.001105451,0.004704658,0.0007523908,0.005615907,0.002129766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112565,"about_ca_system_score_gemma":0.0006023532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004591451,"about_ca_topic_score_gemma":0.003320354,"domain_scores_codex":[0.9996912,0.0001016586,0.00001727411,0.00007724755,0.00006152484,0.00005113427],"domain_scores_gemma":[0.9972543,0.002051218,0.0001227014,0.0001555988,0.0002841362,0.0001320216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005676511,0.0001601744,0.00546868,0.0007631853,0.0005520069,0.0006467045,0.0001493134,0.1428571,0.003280714,0.3134492,0.1539956,0.3781097],"study_design_scores_gemma":[0.00005290203,0.00003259358,0.0005208723,0.0001006852,0.00002387927,0.000128885,0.00003163483,0.4379886,0.0008475969,0.545213,0.01502251,0.00003693752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01975289,0.01884235,0.4529843,0.47765,0.01018844,0.00005368396,0.0008220593,0.001460902,0.01824542],"genre_scores_gemma":[0.7599632,0.0269311,0.1114364,0.06099254,0.01294873,0.0002704233,0.0008668669,0.0006930049,0.02589773],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.004591451,"threshold_uncertainty_score":0.01491106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329156292501344,"score_gpt":0.2630625813334527,"score_spread":0.2497710184084393,"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."}}