{"id":"W4405142905","doi":"10.24110/0031-403x-2024-103-6-73-82","title":"Anthropometric parameters as markers for hyperleptinemia in adolescents","year":2024,"lang":"en","type":"article","venue":"PEDIATRIA Journal named after G N SPERANSKY","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Anthropometry; Internal medicine","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":[0.000337749,0.0002927685,0.0002935684,0.0009933785,0.0001708506,0.000396407,0.0001792719,0.0002760755,0.0008665959],"category_scores_gemma":[0.001102645,0.0002143923,0.0002319766,0.0007218007,0.0001666676,0.0002427887,0.0002609643,0.0004848643,0.0001872273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001367558,"about_ca_system_score_gemma":0.0001364413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040905,"about_ca_topic_score_gemma":0.001127928,"domain_scores_codex":[0.9997548,0.00007685478,0.00003909253,0.00004446364,0.00006243901,0.00002225535],"domain_scores_gemma":[0.9993728,0.00009395723,0.0003449817,0.00002897971,0.00005818292,0.0001011938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005933419,0.0000209256,0.9981943,0.000009486755,0.00001852949,0.00007834444,0.00004992358,0.00002477281,0.0004750845,0.00000982256,0.0000333286,0.001026122],"study_design_scores_gemma":[0.000001954167,0.00005554244,0.9994143,0.000005032273,0.000009092851,0.0002324796,0.00006920759,0.00007301724,0.00005823652,0.000006168952,0.00007366526,0.000001285917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998467,0.0007241687,0.000117391,0.00002688239,0.000007501152,0.00001088919,0.0001814898,0.000005340085,0.0004593043],"genre_scores_gemma":[0.9992399,0.0002348685,0.0001761431,0.00001015278,0.000007284367,0.00001325803,0.000198948,0.000001637988,0.0001177701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001040905,"threshold_uncertainty_score":0.002899051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0092078745205098,"score_gpt":0.2875709697317594,"score_spread":0.2783630952112496,"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."}}