{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004352987,0.0006848971,0.001300301,0.0004058571,0.0003097529,0.0003389657,0.0003537187,0.00060912,0.001705079],"category_scores_gemma":[0.0004583249,0.0002236048,0.0009493913,0.0002659299,0.0003886996,0.0005522631,0.000388437,0.001114131,0.0001490612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147939,"about_ca_system_score_gemma":0.0003456025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001490914,"about_ca_topic_score_gemma":0.001383896,"domain_scores_codex":[0.9998197,0.00006673631,0.00001193081,0.00003227646,0.00002593368,0.00004338305],"domain_scores_gemma":[0.9998499,0.00004302515,0.00002034144,0.00001575238,0.00001013306,0.00006076471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.573549,0.03620007,0.007483891,0.001482717,0.001880862,0.0002674388,0.0003632301,0.001094196,0.2056716,0.0003441712,0.0005953636,0.1710675],"study_design_scores_gemma":[0.05317717,0.5892994,0.1580446,0.0003790693,0.006384367,0.0004937099,0.0009238258,0.008144746,0.1769809,0.0006627465,0.005348432,0.0001609821],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977463,0.001581368,0.0001494488,0.00006729598,0.00004205275,0.00003600951,0.00004899101,0.00001758636,0.0003109302],"genre_scores_gemma":[0.9974209,0.001031561,0.0003481277,0.00006933816,0.00005028555,0.00005168652,0.0001316527,0.000009223151,0.0008872242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001705079,"threshold_uncertainty_score":0.005704045,"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."}}