{"id":"W4313475501","doi":"10.15690/vsp.v21i6.2479","title":"World Trends in Infant Formulas Composition Enhancement","year":2022,"lang":"en","type":"article","venue":"Вопросы современной педиатрии","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children’s Health Research Institute","funders":"","keywords":"Infant formula; Composition (language); Product (mathematics); Relevance (law); Food science; Computer science; Biochemical engineering; Biology; Mathematics; Engineering; Political science; Philosophy","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":[0.001406626,0.0003999906,0.000265618,0.001479686,0.0002107589,0.0009413985,0.0004659813,0.0007137423,0.004677847],"category_scores_gemma":[0.001819132,0.0001222753,0.0002771497,0.002237891,0.0003671511,0.001202247,0.0007172046,0.0009947271,0.0012561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095432,"about_ca_system_score_gemma":0.001453657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002265422,"about_ca_topic_score_gemma":0.002324528,"domain_scores_codex":[0.9994523,0.00008470486,0.00007181401,0.0001352998,0.000207191,0.00004864372],"domain_scores_gemma":[0.9980752,0.0003615083,0.000468188,0.0000659888,0.0008770003,0.0001520046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001485929,0.0001048796,0.006423151,0.003334386,0.00004480187,0.0002038053,0.0002322647,0.0004400821,0.007020956,0.02326571,0.02297947,0.9358018],"study_design_scores_gemma":[0.0000084417,0.0002356184,0.02317918,0.001365517,0.00007197499,0.00133908,0.0003688958,0.0003804664,0.004601061,0.002610084,0.9658142,0.00002557191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02711236,0.8997101,0.006741572,0.01815716,0.001642622,0.0000462723,0.0006274775,0.0002264314,0.04573606],"genre_scores_gemma":[0.09608734,0.8641291,0.01767679,0.005540732,0.001413156,0.00007830397,0.001031931,0.00006897463,0.01397374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004677847,"threshold_uncertainty_score":0.0156489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203026412697378,"score_gpt":0.3162832449393161,"score_spread":0.2942529808123423,"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."}}