{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006464044,0.0003822828,0.0003870403,0.0004197966,0.0005060669,0.0007861602,0.0002996278,0.001013026,0.007297999],"category_scores_gemma":[0.0004800576,0.0001447108,0.0005136413,0.0002468767,0.0006614424,0.0008755486,0.000446586,0.001200031,0.001349091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000203106,"about_ca_system_score_gemma":0.0004275659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000537325,"about_ca_topic_score_gemma":0.0009970365,"domain_scores_codex":[0.9998176,0.00006670097,0.000007295726,0.00004149884,0.0000281867,0.00003882449],"domain_scores_gemma":[0.9998299,0.0000335453,0.00003397761,0.00002150069,0.00002796559,0.00005303941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01009607,0.01047281,0.03305798,0.005521492,0.0007372869,0.001994926,0.002075972,0.0002727634,0.5691276,0.01133194,0.02464401,0.3306671],"study_design_scores_gemma":[0.001248674,0.08248497,0.2495763,0.003711961,0.001987129,0.006728477,0.009547649,0.00118129,0.1492306,0.01548801,0.478541,0.0002739323],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8882213,0.0298582,0.01218907,0.01915621,0.00450785,0.0005247559,0.001150844,0.0003850798,0.04400676],"genre_scores_gemma":[0.880707,0.03170996,0.0313088,0.0136081,0.0008348473,0.0005590441,0.00133002,0.0001411837,0.03980102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007297999,"threshold_uncertainty_score":0.02441424,"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."}}