{"id":"W4206921659","doi":"10.1101/2022.01.18.22269447","title":"Life-long effects of malnutrition using semi-quantitative EEG analysis","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Electroencephalography; Psychology; Audiology; Malnutrition; Neurophysiology; Medicine; Neuroscience; Internal medicine","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":[0.002608364,0.0005694415,0.0003329996,0.001243388,0.0001507727,0.0006921145,0.0003623749,0.0002079467,0.002510035],"category_scores_gemma":[0.01133273,0.000153713,0.0005196022,0.001101421,0.0003754855,0.0004014724,0.0005500432,0.0002860784,0.0002133612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002061532,"about_ca_system_score_gemma":0.0002115065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358358,"about_ca_topic_score_gemma":0.001737228,"domain_scores_codex":[0.9983543,0.0009204618,0.00018567,0.0002277475,0.0002660265,0.0000458004],"domain_scores_gemma":[0.9917141,0.004866708,0.001930563,0.0005769259,0.0008026232,0.0001091237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004045947,0.0005010189,0.6806094,0.002121898,0.001692181,0.001026712,0.003479237,0.01804812,0.05440006,0.001645658,0.00201558,0.2304143],"study_design_scores_gemma":[0.00003479723,0.0006573261,0.9594494,0.00007761717,0.0001638728,0.0004638273,0.0006749764,0.03204526,0.004322829,0.001200565,0.000849458,0.00006011482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9160726,0.0002863118,0.07774828,0.00006458954,0.00002376513,0.0003614228,0.003846695,0.0003711297,0.001225116],"genre_scores_gemma":[0.9857142,0.00006069102,0.01272059,0.000007269388,0.000008099139,0.0002375178,0.001033174,0.00002212403,0.0001963618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002608364,"threshold_uncertainty_score":0.01379448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03014588934714399,"score_gpt":0.3218422293031661,"score_spread":0.2916963399560221,"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."}}