{"id":"W2895009653","doi":"10.1159/000490463","title":"Associations between the <b><i>LEP</i></b> -2548G/A Promoter and Baseline Weight and between <b><i>LEPR</i></b> Gln223Arg and Lys656Asn Variants and Change in BMI <b><i>z</i></b> Scores in Arab Children and Adolescents Treated with Risperidone","year":2018,"lang":"en","type":"article","venue":"Complex Psychiatry","topic":"Diet and metabolism studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Risperidone; Body mass index; Logistic regression; Demography; Weight gain; Internal medicine; Odds ratio; Single-nucleotide polymorphism; Population; Overweight; Genotype; Body weight; Biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.006988473,0.00716407,0.01044813,0.004470313,0.00471916,0.001798143,0.003407289,0.003479559,0.0007766037],"category_scores_gemma":[0.001712469,0.006286475,0.001491341,0.006364586,0.006380297,0.003138553,0.003486608,0.003598241,0.0003442904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212374,"about_ca_system_score_gemma":0.001584549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002959611,"about_ca_topic_score_gemma":0.01548204,"domain_scores_codex":[0.9673524,0.00335005,0.007462689,0.008664295,0.005309185,0.007861311],"domain_scores_gemma":[0.9811115,0.00205715,0.004387949,0.005775122,0.002377171,0.004291133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007197908,0.008883215,0.6539361,0.00332023,0.01062578,0.0006448859,0.01393409,0.00002438979,0.1231529,0.009683383,0.1397865,0.02881054],"study_design_scores_gemma":[0.03275647,0.003195237,0.8133593,0.004472735,0.006201777,0.0004479116,0.0001704165,0.001176044,0.0004853817,0.001509939,0.1302404,0.005984357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801351,0.07860153,0.0004636871,0.008811708,0.003489764,0.01225387,0.008578905,0.001384147,0.00628127],"genre_scores_gemma":[0.9444671,0.02642243,0.004412819,0.00241784,0.0107449,0.001378231,0.005104329,0.001561756,0.003490619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1594232,"threshold_uncertainty_score":0.9992381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281578178409498,"score_gpt":0.2657587044712666,"score_spread":0.2429429226871717,"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."}}