{"id":"W3088699658","doi":"10.1042/cs20201028","title":"The dual nature of obesity in metabolic programming: quantity versus quality of adipose tissue","year":2020,"lang":"en","type":"article","venue":"Clinical Science","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Adipose tissue; Obesity; Context (archaeology); Offspring; Childhood obesity; Bioinformatics; Biology; Phenotype; Endocrinology; Internal medicine; Medicine; Overweight; Gene; Genetics; Pregnancy","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003988227,0.00009896621,0.0005771528,0.00003506009,0.00008493173,0.00001150966,0.0004076404,0.0001534028,0.00001848761],"category_scores_gemma":[0.01313983,0.00006268213,0.0001246225,0.001141051,0.001883471,0.000114765,0.0001843557,0.0005838667,0.00001379858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009651147,"about_ca_system_score_gemma":0.0004218476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001980854,"about_ca_topic_score_gemma":0.0001062352,"domain_scores_codex":[0.9976833,0.0001825135,0.0008379567,0.0003682258,0.0006330199,0.0002949757],"domain_scores_gemma":[0.9979382,0.0007936202,0.0002956092,0.0004177535,0.0002408903,0.0003139364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003704882,0.00193301,0.5423139,0.0002450605,0.000124423,0.00004657062,0.00168298,0.000004994209,0.0382147,0.1622782,0.0003904641,0.2490609],"study_design_scores_gemma":[0.002000911,0.0006140928,0.9339049,0.00002652778,0.00009077997,0.000001552447,0.0001622211,0.00005340601,0.01579327,0.0001884204,0.04707141,0.00009250532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930153,0.003448417,0.00003629483,0.002113297,0.0005307934,0.0003491195,0.000004778266,0.00001801599,0.0004839879],"genre_scores_gemma":[0.9979166,0.0003106271,0.001281599,0.0002488759,0.0001831544,0.00000327717,0.000001260024,0.000004735065,0.00004981453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.391591,"threshold_uncertainty_score":0.9951729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1322673984643169,"score_gpt":0.4634448296173873,"score_spread":0.3311774311530704,"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."}}