{"id":"W2598846157","doi":"","title":"Effectiveness of weight loss by using yogurt commercial meals","year":2004,"lang":"en","type":"article","venue":"Zhōnghuá mínguó yíngyǎng xuéhuì zázhì","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Food science; Weight loss; Environmental science; Business; Mathematics; Environmental health; Chemistry; Medicine; Obesity; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003451734,0.0003371123,0.0004066883,0.00008639182,0.0001671965,0.00002891339,0.0003424416,0.0002895672,0.00004015314],"category_scores_gemma":[0.0001070103,0.000354774,0.0002585542,0.0001816534,0.0002918028,0.000011375,0.0001460733,0.0001336993,0.00001400827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007164731,"about_ca_system_score_gemma":0.0002393249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002094803,"about_ca_topic_score_gemma":0.00002933398,"domain_scores_codex":[0.9980149,0.000206652,0.0004295082,0.0005720491,0.000307971,0.0004689052],"domain_scores_gemma":[0.9986851,0.00003755087,0.0001768738,0.000604974,0.0002422523,0.0002532814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008268403,0.0007280761,0.01319816,0.0004018831,0.0001444458,0.00001467527,0.00006437858,0.0003745781,0.9813348,0.0003225392,0.002001746,0.0005878667],"study_design_scores_gemma":[0.004864166,0.0004481858,0.01161126,0.0001986757,0.000135751,0.00002832084,0.0000462699,0.00001293892,0.9709502,0.001485676,0.009655158,0.0005633992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905642,0.003589824,0.003849282,0.00009523047,0.0004639056,0.0004096235,0.0002943262,0.00003029402,0.0007033213],"genre_scores_gemma":[0.9974357,0.000437808,0.0008620883,0.0001897202,0.0004574885,0.00002826447,0.0004421016,0.00006419102,0.00008257898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01038461,"threshold_uncertainty_score":0.9998904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008180738456617207,"score_gpt":0.2608969007707099,"score_spread":0.2527161623140927,"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."}}