{"id":"W4324054986","doi":"10.3390/metabo13030420","title":"Eat like a Pig to Combat Obesity","year":2023,"lang":"en","type":"article","venue":"Metabolites","topic":"Diet and metabolism studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Obesity; Micronutrient; Medicine; Human nutrition; Nutrient; Environmental health; Biology; Physiology; Endocrinology; Food science; Pathology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003064796,0.0001857087,0.0005430485,0.0002501909,0.0001157936,0.00002642552,0.0001090135,0.00005135246,0.0001551518],"category_scores_gemma":[0.0003039704,0.0001435245,0.0001540439,0.0009288462,0.0000515616,0.00006381104,0.0001753769,0.0001134193,0.003100895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001170944,"about_ca_system_score_gemma":0.00003324037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004456641,"about_ca_topic_score_gemma":0.00001079273,"domain_scores_codex":[0.9987036,0.00003490719,0.0002086039,0.0002970589,0.0003100417,0.0004457975],"domain_scores_gemma":[0.9991601,0.00007760864,0.0000287474,0.0003649064,0.0001187163,0.000249976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002598767,0.0005576853,0.4420683,0.0002371506,0.000611526,0.0001753114,0.00588796,0.000005683246,0.07042419,0.01298059,0.4060165,0.06077521],"study_design_scores_gemma":[0.0004027736,0.00003813328,0.5203128,0.00001907782,0.0001300971,0.000001783198,0.000213153,0.000006636315,0.002419649,0.0002327831,0.4761226,0.0001005626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757528,0.00512163,0.00002329557,0.002643744,0.001176257,0.0003953564,0.00002075725,0.0004833363,0.01438284],"genre_scores_gemma":[0.9396261,0.001400098,0.001702959,0.003954485,0.0008426803,0.0001091057,0.00004437738,0.00004913163,0.05227108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07824448,"threshold_uncertainty_score":0.9976753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02806224670131036,"score_gpt":0.2946791831629549,"score_spread":0.2666169364616446,"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."}}