{"id":"W3019477760","doi":"10.18174/513041","title":"Carnitine metabolism in relation to physical performance and cognition in aging","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carnitine; Cognition; Relation (database); Cognitive aging; Psychology; Gerontology; Medicine; Neuroscience; Cognitive psychology; Computer science; Internal medicine; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001372691,0.0001970412,0.0001282436,0.0004266929,0.0001828698,0.000251215,0.0001221747,0.0002617647,0.001271341],"category_scores_gemma":[0.0001343818,0.00009152462,0.0001172127,0.0004416788,0.0001202754,0.0001437874,0.0002213071,0.0001957785,0.0002277662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415373,"about_ca_system_score_gemma":0.0001383624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693387,"about_ca_topic_score_gemma":0.002764652,"domain_scores_codex":[0.9999696,0.000005285905,0.000002725251,0.00001060071,0.000005502864,0.000006283072],"domain_scores_gemma":[0.9999608,0.00001080792,0.00001290255,0.000001483757,0.000005884328,0.000008246047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002137762,0.0008938721,0.5828224,0.001726357,0.0003187359,0.001356644,0.003029416,0.001703428,0.09083644,0.003604552,0.00904308,0.3025272],"study_design_scores_gemma":[0.00000660663,0.001253366,0.9827659,0.0001882098,0.00006696679,0.0008185641,0.0002692096,0.0002617471,0.001938929,0.0009024215,0.01151343,0.00001479309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8253771,0.1655944,0.001405208,0.0008519554,0.0001347272,0.00007566518,0.001143384,0.00004482946,0.005372872],"genre_scores_gemma":[0.8704448,0.1142084,0.002463017,0.0003774691,0.0002633232,0.0001480179,0.001173088,0.00001371402,0.0109081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001693387,"threshold_uncertainty_score":0.00425303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005756937118764844,"score_gpt":0.2464102552519396,"score_spread":0.2406533181331748,"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."}}