{"id":"W4388867239","doi":"10.3390/brainsci13121610","title":"Exploring the Role of Neuroplasticity in Development, Aging, and Neurodegeneration","year":2023,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":233,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; University of Victoria","keywords":"Neuroplasticity; Neuroscience; Neuroinflammation; Neurodegeneration; Context (archaeology); Psychology; Cognition; Environmental enrichment; Disease; Medicine; Biology","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":[0.0002806074,0.00003176629,0.00003198429,0.00004378117,0.00007811834,0.00001050076,0.00006839099,0.00001145794,0.000002177167],"category_scores_gemma":[0.0001959725,0.00002271914,0.000006800637,0.0001941633,0.00009258133,0.000004314389,0.00005200274,0.00002168411,0.000002543051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":7.350568e-7,"about_ca_system_score_gemma":0.00002786677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008849926,"about_ca_topic_score_gemma":0.0001067864,"domain_scores_codex":[0.9996042,0.00005298475,0.00007503005,0.0001349976,0.00005583667,0.00007697538],"domain_scores_gemma":[0.9998757,0.00003404909,0.0000194705,0.00004934506,0.000009326259,0.00001217183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004185393,0.000003392734,0.02724525,0.000001771564,7.575148e-7,4.620781e-7,0.0002349014,0.0003221506,0.9660754,0.0003220749,0.0001384823,0.005651201],"study_design_scores_gemma":[0.0001494271,0.0001136593,0.2074476,0.000005644857,0.000001228631,0.000008110629,0.0003864901,0.0009278704,0.739325,0.0001150933,0.05143645,0.00008349994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989264,0.00004503071,0.0001269537,0.0002414636,0.0001792861,0.00003764895,5.271125e-7,0.000004630467,0.0004380621],"genre_scores_gemma":[0.9994779,0.00003447977,0.0001512503,0.000146077,0.00004744238,0.000008783447,0.000002553759,0.000001766107,0.0001297069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2267504,"threshold_uncertainty_score":0.09264598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06477381032653749,"score_gpt":0.2687873726861228,"score_spread":0.2040135623595853,"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."}}