{"id":"W2926742981","doi":"","title":"Hormones Residues and its Relation to Adolescents Obesity","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Clinical Nutrition","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Relation (database); Hormone; Obesity; Computer science; Medicine; Endocrinology; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005397245,0.00006357289,0.0003529258,0.0001580545,0.00004466881,0.0000139171,0.00003879996,0.00009016918,0.00002519655],"category_scores_gemma":[0.0008307851,0.00005401605,0.00009406204,0.00009446885,0.00002629175,0.0001181731,0.000006684756,0.0002182219,0.00004730075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002484789,"about_ca_system_score_gemma":0.0001927429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009760833,"about_ca_topic_score_gemma":0.0007826996,"domain_scores_codex":[0.9990584,0.00004940395,0.0005296922,0.00009590868,0.0001324921,0.0001341067],"domain_scores_gemma":[0.9987643,0.0000554613,0.0001499321,0.00006679393,0.0002984863,0.000665054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004979974,0.0001311853,0.9780001,0.0001787999,0.00004990426,0.00006329021,0.0001765644,5.252875e-7,0.0005069191,0.0003027109,0.01209041,0.008001564],"study_design_scores_gemma":[0.001976258,0.0004690296,0.9679104,0.0008040899,0.00007619826,0.00002054945,0.00008860934,0.000003970881,0.00007780558,0.0003676806,0.02815094,0.00005447593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910545,0.003155817,0.000007682246,0.003963758,0.0007440267,0.0002328467,0.000004832084,0.00000348226,0.0008330422],"genre_scores_gemma":[0.9969063,0.001123642,0.0003096436,0.0007639413,0.0006495269,8.814916e-7,0.0000020651,0.000006531097,0.0002374207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01606053,"threshold_uncertainty_score":0.2202711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04543660404648718,"score_gpt":0.3416873045536912,"score_spread":0.296250700507204,"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."}}