{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002871565,0.0001794735,0.000175551,0.0008396391,0.0004487391,0.0006793565,0.000170967,0.0003472385,0.001509726],"category_scores_gemma":[0.001348839,0.00018575,0.0002097931,0.0007412685,0.0004103774,0.0001416123,0.0002431902,0.0008941652,0.0001304025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00050285,"about_ca_system_score_gemma":0.0005545489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01293084,"about_ca_topic_score_gemma":0.01196247,"domain_scores_codex":[0.9998531,0.00005111393,0.00001161964,0.00002031886,0.00003534101,0.00002845312],"domain_scores_gemma":[0.9990665,0.0003400287,0.0002990921,0.00002907244,0.00006934666,0.0001960024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002356779,0.0005449027,0.9821785,0.00006836782,0.0001213211,0.0006751958,0.0004897557,0.0001275294,0.004059761,0.0004617533,0.0001309608,0.008785021],"study_design_scores_gemma":[0.00001425896,0.0002727414,0.9973769,0.00001497706,0.00005965579,0.0004255001,0.0002609134,0.0001094978,0.000783724,0.0001139972,0.0005642691,0.000003630222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948096,0.003251887,0.00003388218,0.00009853945,0.00001537445,0.000005745982,0.0001060427,0.000002868092,0.00167587],"genre_scores_gemma":[0.9983609,0.0008578314,0.00008676316,0.00003028853,0.0000127445,0.000003563975,0.00006442663,0.000001717344,0.0005817023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01293084,"threshold_uncertainty_score":0.02571112,"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."}}