{"id":"W4380154018","doi":"10.1016/j.ijpsycho.2023.05.124","title":"The quantitative tomographic EEG (qEEGt) to study long effects on malnutrition","year":2023,"lang":"en","type":"article","venue":"International Journal of Psychophysiology","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Cronbach's alpha; Confirmatory factor analysis; Psychology; Exploratory factor analysis; Coronavirus disease 2019 (COVID-19); Internal consistency; Scale (ratio); Structural equation modeling; Clinical psychology; Humanities; Medicine; Statistics; Psychometrics; Cartography; Mathematics; Geography; Philosophy; 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":[0.0003782293,0.000496856,0.000275307,0.0002965092,0.0001294238,0.0002314683,0.0001272782,0.0003353101,0.002396169],"category_scores_gemma":[0.001011717,0.0000836765,0.0001527359,0.0003869459,0.0002190856,0.0003649975,0.0002082342,0.0004757108,0.0001745963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001395586,"about_ca_system_score_gemma":0.0002146263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033358,"about_ca_topic_score_gemma":0.001349425,"domain_scores_codex":[0.9999154,0.00003991923,0.000005067262,0.0000136761,0.00001682957,0.000009116073],"domain_scores_gemma":[0.999683,0.000162806,0.00005237261,0.00002238526,0.00004479475,0.00003466309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02044278,0.001589832,0.1942527,0.001164714,0.0007937681,0.001478972,0.0005298763,0.0018055,0.5080601,0.0008939878,0.001660631,0.267327],"study_design_scores_gemma":[0.0003895355,0.009948205,0.9474258,0.00008682649,0.0004006581,0.001471945,0.0004444797,0.002635004,0.03238185,0.00136941,0.003413274,0.00003308144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799235,0.005665461,0.01026546,0.0002849723,0.0001055075,0.0001212721,0.0006665302,0.00005697252,0.002910378],"genre_scores_gemma":[0.9907352,0.002349475,0.004280929,0.0002318913,0.00008221365,0.0001409279,0.0002430413,0.00004403468,0.001892335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002396169,"threshold_uncertainty_score":0.00801599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04996831860266712,"score_gpt":0.5004847291371445,"score_spread":0.4505164105344773,"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."}}